Mercurial > repos > jfb > kinatest_r_7_7testing
changeset 14:da1012f014bd draft
Uploaded
| author | jfb |
|---|---|
| date | Thu, 08 Feb 2018 15:29:56 -0500 |
| parents | d71eb1d66a88 |
| children | 36ef4ff2d130 |
| files | kinatestid_r/Kinatest-R.R kinatestid_r/Kinatest-R_part1.R kinatestid_r/Kinatest-R_part2.R |
| diffstat | 3 files changed, 1934 insertions(+), 1904 deletions(-) [+] |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/kinatestid_r/Kinatest-R.R Thu Feb 08 15:29:56 2018 -0500 @@ -0,0 +1,1934 @@ + +ImportedSubstrateList<- read.csv("input1", stringsAsFactors=FALSE) +NegativeSubstrateList<- read.csv("input2", stringsAsFactors=FALSE) +SubstrateBackgroundFrequency<- read.csv("input3", stringsAsFactors=FALSE) + +ScreenerFilename<-"screener" + + + +FILENAME<-"output1.csv" +FILENAME2<-"output2.csv" +FILENAME3<-"output3.csv" + + + + + + + + + + + + + + + + + + + + + + + + +OutputMatrix<-"KinaseMatrix.csv" +CharacterizationTable<-"CharacterizationTableForThisKinase.csv" +SDtable<-"SDtableforthisKinase" +SiteSelectivityTable<-"SiteSelectivityForThisKinase" + + + +substrates<-matrix(rep("A",times=((nrow(ImportedSubstrateList)-1)*15)),ncol = 15) +#SeqsToBeScored<-"asdasd" + +for (i in 2:nrow(ImportedSubstrateList)) +{ + substratemotif<-ImportedSubstrateList[i,4:18] + substratemotif[8]<-"Y" + #substratemotif<-paste(substratemotif,sep = "",collapse = "") + j=i-1 + substratemotif<-unlist(substratemotif) + substrates[j,1:15]<-substratemotif +} + +# SpacesToOs<-c(""="O",) +# substrates<-SpacesToOs[substrates] + +SubstrateBackgroundFrequency[nrow(SubstrateBackgroundFrequency),2] + +if(2==2){ +Amean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),2]), na.rm=TRUE) +Cmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),3]), na.rm=TRUE) +Dmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),4]), na.rm=TRUE) +Emean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),5]), na.rm=TRUE) +Fmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),6]), na.rm=TRUE) +Gmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),7]), na.rm=TRUE) +Hmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),8]), na.rm=TRUE) +Imean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),9]), na.rm=TRUE) +Kmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),10]), na.rm=TRUE) +Lmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),11]), na.rm=TRUE) +Mmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),12]), na.rm=TRUE) +Nmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),13]), na.rm=TRUE) +Pmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),14]), na.rm=TRUE) +Qmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),15]), na.rm=TRUE) +Rmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),16]), na.rm=TRUE) +Smean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),17]), na.rm=TRUE) +Tmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),18]), na.rm=TRUE) +Vmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),19]), na.rm=TRUE) +Wmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),20]), na.rm=TRUE) +Ymean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),21]), na.rm=TRUE) + +AllMeans<-c(Amean,Cmean,Dmean,Emean,Fmean,Gmean,Hmean,Imean,Kmean,Lmean,Mmean,Nmean,Pmean,Qmean,Rmean,Smean,Tmean,Vmean,Wmean,Ymean) + +Asd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),2]), na.rm=TRUE) +Csd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),3]), na.rm=TRUE) +Dsd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),4]), na.rm=TRUE) +Esd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),5]), na.rm=TRUE) +Fsd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),6]), na.rm=TRUE) +Gsd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),7]), na.rm=TRUE) +Hsd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),8]), na.rm=TRUE) +Isd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),9]), na.rm=TRUE) +Ksd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),10]), na.rm=TRUE) +Lsd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),11]), na.rm=TRUE) +Msd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),12]), na.rm=TRUE) +Nsd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),13]), na.rm=TRUE) +Psd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),14]), na.rm=TRUE) +Qsd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),15]), na.rm=TRUE) +Rsd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),16]), na.rm=TRUE) +Ssd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),17]), na.rm=TRUE) +Tsd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),18]), na.rm=TRUE) +Vsd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),19]), na.rm=TRUE) +Wsd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),20]), na.rm=TRUE) +Ysd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),21]), na.rm=TRUE) +} +AllSDs<-c(Asd,Csd,Dsd,Esd,Fsd,Gsd,Hsd,Isd,Ksd,Lsd,Msd,Nsd,Psd,Qsd,Rsd,Ssd,Tsd,Vsd,Wsd,Ysd) +#this is subbackfreq SDs + +SBF_statisticalvalues<-cbind(AllMeans,AllSDs) + +#create the percent table +if (1==1){ + Column1<-substrates[,1] + Column2<-substrates[,2] + Column3<-substrates[,3] + Column4<-substrates[,4] + Column5<-substrates[,5] + Column6<-substrates[,6] + Column7<-substrates[,7] + Column8<-substrates[,8] + Column9<-substrates[,9] + Column10<-substrates[,10] + Column11<-substrates[,11] + Column12<-substrates[,12] + Column13<-substrates[,13] + Column14<-substrates[,14] + Column15<-substrates[,15] + + spaces1<-sum((Column1%in% "")) + spaces2<-sum(Column2%in% "") + spaces3<-sum(Column3%in% "") + spaces4<-sum(Column4%in% "") + spaces5<-sum(Column5%in% "") + spaces6<-sum(Column6%in% "") + spaces7<-sum(Column7%in% "") + spaces8<-sum(Column8%in% "") + spaces9<-sum(Column9%in% "") + spaces10<-sum(Column10%in% "") + spaces11<-sum(Column11%in% "") + spaces12<-sum(Column12%in% "") + spaces13<-sum(Column13%in% "") + spaces14<-sum(Column14%in% "") + spaces15<-sum(Column15%in% "") + + A1<-sum(Column1 %in% "A")/(length(Column1)-spaces1) + A2<-sum(Column2 %in% "A")/(length(Column2)-spaces2) + A3<-sum(Column3 %in% "A")/(length(Column3)-spaces3) + A4<-sum(Column4 %in% "A")/(length(Column4)-spaces4) + A5<-sum(Column5 %in% "A")/(length(Column5)-spaces5) + A6<-sum(Column6 %in% "A")/(length(Column6)-spaces6) + A7<-sum(Column7 %in% "A")/(length(Column7)-spaces7) + A8<-sum(Column8 %in% "A")/(length(Column8)-spaces8) + A9<-sum(Column9 %in% "A")/(length(Column9)-spaces9) + A10<-sum(Column10 %in% "A")/(length(Column10)-spaces10) + A11<-sum(Column11 %in% "A")/(length(Column11)-spaces11) + A12<-sum(Column12 %in% "A")/(length(Column12)-spaces12) + A13<-sum(Column13 %in% "A")/(length(Column13)-spaces13) + A14<-sum(Column14 %in% "A")/(length(Column14)-spaces14) + A15<-sum(Column15 %in% "A")/(length(Column15)-spaces15) + AllAs<-cbind(A1,A2,A3,A4,A5,A6,A7,A8,A9,A10,A11,A12,A13,A14,A15) + + C1<-sum(Column1 %in% "C")/(length(Column1)-spaces1) + C2<-sum(Column2 %in% "C")/(length(Column2)-spaces2) + C3<-sum(Column3 %in% "C")/(length(Column3)-spaces3) + C4<-sum(Column4 %in% "C")/(length(Column4)-spaces4) + C5<-sum(Column5 %in% "C")/(length(Column5)-spaces5) + C6<-sum(Column6 %in% "C")/(length(Column6)-spaces6) + C7<-sum(Column7 %in% "C")/(length(Column7)-spaces7) + C8<-sum(Column8 %in% "C")/(length(Column8)-spaces8) + C9<-sum(Column9 %in% "C")/(length(Column9)-spaces9) + C10<-sum(Column10 %in% "C")/(length(Column10)-spaces10) + C11<-sum(Column11 %in% "C")/(length(Column11)-spaces11) + C12<-sum(Column12 %in% "C")/(length(Column12)-spaces12) + C13<-sum(Column13 %in% "C")/(length(Column13)-spaces13) + C14<-sum(Column14 %in% "C")/(length(Column14)-spaces14) + C15<-sum(Column15 %in% "C")/(length(Column15)-spaces15) + CllCs<-cbind(C1,C2,C3,C4,C5,C6,C7,C8,C9,C10,C11,C12,C13,C14,C15) + + D1<-sum(Column1 %in% "D")/(length(Column1)-spaces1) + D2<-sum(Column2 %in% "D")/(length(Column2)-spaces2) + D3<-sum(Column3 %in% "D")/(length(Column3)-spaces3) + D4<-sum(Column4 %in% "D")/(length(Column4)-spaces4) + D5<-sum(Column5 %in% "D")/(length(Column5)-spaces5) + D6<-sum(Column6 %in% "D")/(length(Column6)-spaces6) + D7<-sum(Column7 %in% "D")/(length(Column7)-spaces7) + D8<-sum(Column8 %in% "D")/(length(Column8)-spaces8) + D9<-sum(Column9 %in% "D")/(length(Column9)-spaces9) + D10<-sum(Column10 %in% "D")/(length(Column10)-spaces10) + D11<-sum(Column11 %in% "D")/(length(Column11)-spaces11) + D12<-sum(Column12 %in% "D")/(length(Column12)-spaces12) + D13<-sum(Column13 %in% "D")/(length(Column13)-spaces13) + D14<-sum(Column14 %in% "D")/(length(Column14)-spaces14) + D15<-sum(Column15 %in% "D")/(length(Column15)-spaces15) + DllDs<-cbind(D1,D2,D3,D4,D5,D6,D7,D8,D9,D10,D11,D12,D13,D14,D15) + + E1<-sum(Column1 %in% "E")/(length(Column1)-spaces1) + E2<-sum(Column2 %in% "E")/(length(Column2)-spaces2) + E3<-sum(Column3 %in% "E")/(length(Column3)-spaces3) + E4<-sum(Column4 %in% "E")/(length(Column4)-spaces4) + E5<-sum(Column5 %in% "E")/(length(Column5)-spaces5) + E6<-sum(Column6 %in% "E")/(length(Column6)-spaces6) + E7<-sum(Column7 %in% "E")/(length(Column7)-spaces7) + E8<-sum(Column8 %in% "E")/(length(Column8)-spaces8) + E9<-sum(Column9 %in% "E")/(length(Column9)-spaces9) + E10<-sum(Column10 %in% "E")/(length(Column10)-spaces10) + E11<-sum(Column11 %in% "E")/(length(Column11)-spaces11) + E12<-sum(Column12 %in% "E")/(length(Column12)-spaces12) + E13<-sum(Column13 %in% "E")/(length(Column13)-spaces13) + E14<-sum(Column14 %in% "E")/(length(Column14)-spaces14) + E15<-sum(Column15 %in% "E")/(length(Column15)-spaces15) + EllEs<-cbind(E1,E2,E3,E4,E5,E6,E7,E8,E9,E10,E11,E12,E13,E14,E15) + + + F1<-sum(Column1 %in% "F")/(length(Column1)-spaces1) + F2<-sum(Column2 %in% "F")/(length(Column2)-spaces2) + F3<-sum(Column3 %in% "F")/(length(Column3)-spaces3) + F4<-sum(Column4 %in% "F")/(length(Column4)-spaces4) + F5<-sum(Column5 %in% "F")/(length(Column5)-spaces5) + F6<-sum(Column6 %in% "F")/(length(Column6)-spaces6) + F7<-sum(Column7 %in% "F")/(length(Column7)-spaces7) + F8<-sum(Column8 %in% "F")/(length(Column8)-spaces8) + F9<-sum(Column9 %in% "F")/(length(Column9)-spaces9) + F10<-sum(Column10 %in% "F")/(length(Column10)-spaces10) + F11<-sum(Column11 %in% "F")/(length(Column11)-spaces11) + F12<-sum(Column12 %in% "F")/(length(Column12)-spaces12) + F13<-sum(Column13 %in% "F")/(length(Column13)-spaces13) + F14<-sum(Column14 %in% "F")/(length(Column14)-spaces14) + F15<-sum(Column15 %in% "F")/(length(Column15)-spaces15) + FllFs<-cbind(F1,F2,F3,F4,F5,F6,F7,F8,F9,F10,F11,F12,F13,F14,F15) + + + G1<-sum(Column1 %in% "G")/(length(Column1)-spaces1) + G2<-sum(Column2 %in% "G")/(length(Column2)-spaces2) + G3<-sum(Column3 %in% "G")/(length(Column3)-spaces3) + G4<-sum(Column4 %in% "G")/(length(Column4)-spaces4) + G5<-sum(Column5 %in% "G")/(length(Column5)-spaces5) + G6<-sum(Column6 %in% "G")/(length(Column6)-spaces6) + G7<-sum(Column7 %in% "G")/(length(Column7)-spaces7) + G8<-sum(Column8 %in% "G")/(length(Column8)-spaces8) + G9<-sum(Column9 %in% "G")/(length(Column9)-spaces9) + G10<-sum(Column10 %in% "G")/(length(Column10)-spaces10) + G11<-sum(Column11 %in% "G")/(length(Column11)-spaces11) + G12<-sum(Column12 %in% "G")/(length(Column12)-spaces12) + G13<-sum(Column13 %in% "G")/(length(Column13)-spaces13) + G14<-sum(Column14 %in% "G")/(length(Column14)-spaces14) + G15<-sum(Column15 %in% "G")/(length(Column15)-spaces15) + GllGs<-cbind(G1,G2,G3,G4,G5,G6,G7,G8,G9,G10,G11,G12,G13,G14,G15) + + + H1<-sum(Column1 %in% "H")/(length(Column1)-spaces1) + H2<-sum(Column2 %in% "H")/(length(Column2)-spaces2) + H3<-sum(Column3 %in% "H")/(length(Column3)-spaces3) + H4<-sum(Column4 %in% "H")/(length(Column4)-spaces4) + H5<-sum(Column5 %in% "H")/(length(Column5)-spaces5) + H6<-sum(Column6 %in% "H")/(length(Column6)-spaces6) + H7<-sum(Column7 %in% "H")/(length(Column7)-spaces7) + H8<-sum(Column8 %in% "H")/(length(Column8)-spaces8) + H9<-sum(Column9 %in% "H")/(length(Column9)-spaces9) + H10<-sum(Column10 %in% "H")/(length(Column10)-spaces10) + H11<-sum(Column11 %in% "H")/(length(Column11)-spaces11) + H12<-sum(Column12 %in% "H")/(length(Column12)-spaces12) + H13<-sum(Column13 %in% "H")/(length(Column13)-spaces13) + H14<-sum(Column14 %in% "H")/(length(Column14)-spaces14) + H15<-sum(Column15 %in% "H")/(length(Column15)-spaces15) + HllHs<-cbind(H1,H2,H3,H4,H5,H6,H7,H8,H9,H10,H11,H12,H13,H14,H15) + + + I1<-sum(Column1 %in% "I")/(length(Column1)-spaces1) + I2<-sum(Column2 %in% "I")/(length(Column2)-spaces2) + I3<-sum(Column3 %in% "I")/(length(Column3)-spaces3) + I4<-sum(Column4 %in% "I")/(length(Column4)-spaces4) + I5<-sum(Column5 %in% "I")/(length(Column5)-spaces5) + I6<-sum(Column6 %in% "I")/(length(Column6)-spaces6) + I7<-sum(Column7 %in% "I")/(length(Column7)-spaces7) + I8<-sum(Column8 %in% "I")/(length(Column8)-spaces8) + I9<-sum(Column9 %in% "I")/(length(Column9)-spaces9) + I10<-sum(Column10 %in% "I")/(length(Column10)-spaces10) + I11<-sum(Column11 %in% "I")/(length(Column11)-spaces11) + I12<-sum(Column12 %in% "I")/(length(Column12)-spaces12) + I13<-sum(Column13 %in% "I")/(length(Column13)-spaces13) + I14<-sum(Column14 %in% "I")/(length(Column14)-spaces14) + I15<-sum(Column15 %in% "I")/(length(Column15)-spaces15) + IllIs<-cbind(I1,I2,I3,I4,I5,I6,I7,I8,I9,I10,I11,I12,I13,I14,I15) + + + K1<-sum(Column1 %in% "K")/(length(Column1)-spaces1) + K2<-sum(Column2 %in% "K")/(length(Column2)-spaces2) + K3<-sum(Column3 %in% "K")/(length(Column3)-spaces3) + K4<-sum(Column4 %in% "K")/(length(Column4)-spaces4) + K5<-sum(Column5 %in% "K")/(length(Column5)-spaces5) + K6<-sum(Column6 %in% "K")/(length(Column6)-spaces6) + K7<-sum(Column7 %in% "K")/(length(Column7)-spaces7) + K8<-sum(Column8 %in% "K")/(length(Column8)-spaces8) + K9<-sum(Column9 %in% "K")/(length(Column9)-spaces9) + K10<-sum(Column10 %in% "K")/(length(Column10)-spaces10) + K11<-sum(Column11 %in% "K")/(length(Column11)-spaces11) + K12<-sum(Column12 %in% "K")/(length(Column12)-spaces12) + K13<-sum(Column13 %in% "K")/(length(Column13)-spaces13) + K14<-sum(Column14 %in% "K")/(length(Column14)-spaces14) + K15<-sum(Column15 %in% "K")/(length(Column15)-spaces15) + KllKs<-cbind(K1,K2,K3,K4,K5,K6,K7,K8,K9,K10,K11,K12,K13,K14,K15) + + + L1<-sum(Column1 %in% "L")/(length(Column1)-spaces1) + L2<-sum(Column2 %in% "L")/(length(Column2)-spaces2) + L3<-sum(Column3 %in% "L")/(length(Column3)-spaces3) + L4<-sum(Column4 %in% "L")/(length(Column4)-spaces4) + L5<-sum(Column5 %in% "L")/(length(Column5)-spaces5) + L6<-sum(Column6 %in% "L")/(length(Column6)-spaces6) + L7<-sum(Column7 %in% "L")/(length(Column7)-spaces7) + L8<-sum(Column8 %in% "L")/(length(Column8)-spaces8) + L9<-sum(Column9 %in% "L")/(length(Column9)-spaces9) + L10<-sum(Column10 %in% "L")/(length(Column10)-spaces10) + L11<-sum(Column11 %in% "L")/(length(Column11)-spaces11) + L12<-sum(Column12 %in% "L")/(length(Column12)-spaces12) + L13<-sum(Column13 %in% "L")/(length(Column13)-spaces13) + L14<-sum(Column14 %in% "L")/(length(Column14)-spaces14) + L15<-sum(Column15 %in% "L")/(length(Column15)-spaces15) + LllLs<-cbind(L1,L2,L3,L4,L5,L6,L7,L8,L9,L10,L11,L12,L13,L14,L15) + + + M1<-sum(Column1 %in% "M")/(length(Column1)-spaces1) + M2<-sum(Column2 %in% "M")/(length(Column2)-spaces2) + M3<-sum(Column3 %in% "M")/(length(Column3)-spaces3) + M4<-sum(Column4 %in% "M")/(length(Column4)-spaces4) + M5<-sum(Column5 %in% "M")/(length(Column5)-spaces5) + M6<-sum(Column6 %in% "M")/(length(Column6)-spaces6) + M7<-sum(Column7 %in% "M")/(length(Column7)-spaces7) + M8<-sum(Column8 %in% "M")/(length(Column8)-spaces8) + M9<-sum(Column9 %in% "M")/(length(Column9)-spaces9) + M10<-sum(Column10 %in% "M")/(length(Column10)-spaces10) + M11<-sum(Column11 %in% "M")/(length(Column11)-spaces11) + M12<-sum(Column12 %in% "M")/(length(Column12)-spaces12) + M13<-sum(Column13 %in% "M")/(length(Column13)-spaces13) + M14<-sum(Column14 %in% "M")/(length(Column14)-spaces14) + M15<-sum(Column15 %in% "M")/(length(Column15)-spaces15) + MllMs<-cbind(M1,M2,M3,M4,M5,M6,M7,M8,M9,M10,M11,M12,M13,M14,M15) + + + N1<-sum(Column1 %in% "N")/(length(Column1)-spaces1) + N2<-sum(Column2 %in% "N")/(length(Column2)-spaces2) + N3<-sum(Column3 %in% "N")/(length(Column3)-spaces3) + N4<-sum(Column4 %in% "N")/(length(Column4)-spaces4) + N5<-sum(Column5 %in% "N")/(length(Column5)-spaces5) + N6<-sum(Column6 %in% "N")/(length(Column6)-spaces6) + N7<-sum(Column7 %in% "N")/(length(Column7)-spaces7) + N8<-sum(Column8 %in% "N")/(length(Column8)-spaces8) + N9<-sum(Column9 %in% "N")/(length(Column9)-spaces9) + N10<-sum(Column10 %in% "N")/(length(Column10)-spaces10) + N11<-sum(Column11 %in% "N")/(length(Column11)-spaces11) + N12<-sum(Column12 %in% "N")/(length(Column12)-spaces12) + N13<-sum(Column13 %in% "N")/(length(Column13)-spaces13) + N14<-sum(Column14 %in% "N")/(length(Column14)-spaces14) + N15<-sum(Column15 %in% "N")/(length(Column15)-spaces15) + NllNs<-cbind(N1,N2,N3,N4,N5,N6,N7,N8,N9,N10,N11,N12,N13,N14,N15) + + + P1<-sum(Column1 %in% "P")/(length(Column1)-spaces1) + P2<-sum(Column2 %in% "P")/(length(Column2)-spaces2) + P3<-sum(Column3 %in% "P")/(length(Column3)-spaces3) + P4<-sum(Column4 %in% "P")/(length(Column4)-spaces4) + P5<-sum(Column5 %in% "P")/(length(Column5)-spaces5) + P6<-sum(Column6 %in% "P")/(length(Column6)-spaces6) + P7<-sum(Column7 %in% "P")/(length(Column7)-spaces7) + P8<-sum(Column8 %in% "P")/(length(Column8)-spaces8) + P9<-sum(Column9 %in% "P")/(length(Column9)-spaces9) + P10<-sum(Column10 %in% "P")/(length(Column10)-spaces10) + P11<-sum(Column11 %in% "P")/(length(Column11)-spaces11) + P12<-sum(Column12 %in% "P")/(length(Column12)-spaces12) + P13<-sum(Column13 %in% "P")/(length(Column13)-spaces13) + P14<-sum(Column14 %in% "P")/(length(Column14)-spaces14) + P15<-sum(Column15 %in% "P")/(length(Column15)-spaces15) + PllPs<-cbind(P1,P2,P3,P4,P5,P6,P7,P8,P9,P10,P11,P12,P13,P14,P15) + + + Q1<-sum(Column1 %in% "Q")/(length(Column1)-spaces1) + Q2<-sum(Column2 %in% "Q")/(length(Column2)-spaces2) + Q3<-sum(Column3 %in% "Q")/(length(Column3)-spaces3) + Q4<-sum(Column4 %in% "Q")/(length(Column4)-spaces4) + Q5<-sum(Column5 %in% "Q")/(length(Column5)-spaces5) + Q6<-sum(Column6 %in% "Q")/(length(Column6)-spaces6) + Q7<-sum(Column7 %in% "Q")/(length(Column7)-spaces7) + Q8<-sum(Column8 %in% "Q")/(length(Column8)-spaces8) + Q9<-sum(Column9 %in% "Q")/(length(Column9)-spaces9) + Q10<-sum(Column10 %in% "Q")/(length(Column10)-spaces10) + Q11<-sum(Column11 %in% "Q")/(length(Column11)-spaces11) + Q12<-sum(Column12 %in% "Q")/(length(Column12)-spaces12) + Q13<-sum(Column13 %in% "Q")/(length(Column13)-spaces13) + Q14<-sum(Column14 %in% "Q")/(length(Column14)-spaces14) + Q15<-sum(Column15 %in% "Q")/(length(Column15)-spaces15) + QllQs<-cbind(Q1,Q2,Q3,Q4,Q5,Q6,Q7,Q8,Q9,Q10,Q11,Q12,Q13,Q14,Q15) + + + R1<-sum(Column1 %in% "R")/(length(Column1)-spaces1) + R2<-sum(Column2 %in% "R")/(length(Column2)-spaces2) + R3<-sum(Column3 %in% "R")/(length(Column3)-spaces3) + R4<-sum(Column4 %in% "R")/(length(Column4)-spaces4) + R5<-sum(Column5 %in% "R")/(length(Column5)-spaces5) + R6<-sum(Column6 %in% "R")/(length(Column6)-spaces6) + R7<-sum(Column7 %in% "R")/(length(Column7)-spaces7) + R8<-sum(Column8 %in% "R")/(length(Column8)-spaces8) + R9<-sum(Column9 %in% "R")/(length(Column9)-spaces9) + R10<-sum(Column10 %in% "R")/(length(Column10)-spaces10) + R11<-sum(Column11 %in% "R")/(length(Column11)-spaces11) + R12<-sum(Column12 %in% "R")/(length(Column12)-spaces12) + R13<-sum(Column13 %in% "R")/(length(Column13)-spaces13) + R14<-sum(Column14 %in% "R")/(length(Column14)-spaces14) + R15<-sum(Column15 %in% "R")/(length(Column15)-spaces15) + RllRs<-cbind(R1,R2,R3,R4,R5,R6,R7,R8,R9,R10,R11,R12,R13,R14,R15) + + + S1<-sum(Column1 %in% "S")/(length(Column1)-spaces1) + S2<-sum(Column2 %in% "S")/(length(Column2)-spaces2) + S3<-sum(Column3 %in% "S")/(length(Column3)-spaces3) + S4<-sum(Column4 %in% "S")/(length(Column4)-spaces4) + S5<-sum(Column5 %in% "S")/(length(Column5)-spaces5) + S6<-sum(Column6 %in% "S")/(length(Column6)-spaces6) + S7<-sum(Column7 %in% "S")/(length(Column7)-spaces7) + S8<-sum(Column8 %in% "S")/(length(Column8)-spaces8) + S9<-sum(Column9 %in% "S")/(length(Column9)-spaces9) + S10<-sum(Column10 %in% "S")/(length(Column10)-spaces10) + S11<-sum(Column11 %in% "S")/(length(Column11)-spaces11) + S12<-sum(Column12 %in% "S")/(length(Column12)-spaces12) + S13<-sum(Column13 %in% "S")/(length(Column13)-spaces13) + S14<-sum(Column14 %in% "S")/(length(Column14)-spaces14) + S15<-sum(Column15 %in% "S")/(length(Column15)-spaces15) + SllSs<-cbind(S1,S2,S3,S4,S5,S6,S7,S8,S9,S10,S11,S12,S13,S14,S15) + + + T1<-sum(Column1 %in% "T")/(length(Column1)-spaces1) + T2<-sum(Column2 %in% "T")/(length(Column2)-spaces2) + T3<-sum(Column3 %in% "T")/(length(Column3)-spaces3) + T4<-sum(Column4 %in% "T")/(length(Column4)-spaces4) + T5<-sum(Column5 %in% "T")/(length(Column5)-spaces5) + T6<-sum(Column6 %in% "T")/(length(Column6)-spaces6) + T7<-sum(Column7 %in% "T")/(length(Column7)-spaces7) + T8<-sum(Column8 %in% "T")/(length(Column8)-spaces8) + T9<-sum(Column9 %in% "T")/(length(Column9)-spaces9) + T10<-sum(Column10 %in% "T")/(length(Column10)-spaces10) + T11<-sum(Column11 %in% "T")/(length(Column11)-spaces11) + T12<-sum(Column12 %in% "T")/(length(Column12)-spaces12) + T13<-sum(Column13 %in% "T")/(length(Column13)-spaces13) + T14<-sum(Column14 %in% "T")/(length(Column14)-spaces14) + T15<-sum(Column15 %in% "T")/(length(Column15)-spaces15) + TllTs<-cbind(T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15) + + + V1<-sum(Column1 %in% "V")/(length(Column1)-spaces1) + V2<-sum(Column2 %in% "V")/(length(Column2)-spaces2) + V3<-sum(Column3 %in% "V")/(length(Column3)-spaces3) + V4<-sum(Column4 %in% "V")/(length(Column4)-spaces4) + V5<-sum(Column5 %in% "V")/(length(Column5)-spaces5) + V6<-sum(Column6 %in% "V")/(length(Column6)-spaces6) + V7<-sum(Column7 %in% "V")/(length(Column7)-spaces7) + V8<-sum(Column8 %in% "V")/(length(Column8)-spaces8) + V9<-sum(Column9 %in% "V")/(length(Column9)-spaces9) + V10<-sum(Column10 %in% "V")/(length(Column10)-spaces10) + V11<-sum(Column11 %in% "V")/(length(Column11)-spaces11) + V12<-sum(Column12 %in% "V")/(length(Column12)-spaces12) + V13<-sum(Column13 %in% "V")/(length(Column13)-spaces13) + V14<-sum(Column14 %in% "V")/(length(Column14)-spaces14) + V15<-sum(Column15 %in% "V")/(length(Column15)-spaces15) + VllVs<-cbind(V1,V2,V3,V4,V5,V6,V7,V8,V9,V10,V11,V12,V13,V14,V15) + + + W1<-sum(Column1 %in% "W")/(length(Column1)-spaces1) + W2<-sum(Column2 %in% "W")/(length(Column2)-spaces2) + W3<-sum(Column3 %in% "W")/(length(Column3)-spaces3) + W4<-sum(Column4 %in% "W")/(length(Column4)-spaces4) + W5<-sum(Column5 %in% "W")/(length(Column5)-spaces5) + W6<-sum(Column6 %in% "W")/(length(Column6)-spaces6) + W7<-sum(Column7 %in% "W")/(length(Column7)-spaces7) + W8<-sum(Column8 %in% "W")/(length(Column8)-spaces8) + W9<-sum(Column9 %in% "W")/(length(Column9)-spaces9) + W10<-sum(Column10 %in% "W")/(length(Column10)-spaces10) + W11<-sum(Column11 %in% "W")/(length(Column11)-spaces11) + W12<-sum(Column12 %in% "W")/(length(Column12)-spaces12) + W13<-sum(Column13 %in% "W")/(length(Column13)-spaces13) + W14<-sum(Column14 %in% "W")/(length(Column14)-spaces14) + W15<-sum(Column15 %in% "W")/(length(Column15)-spaces15) + WllWs<-cbind(W1,W2,W3,W4,W5,W6,W7,W8,W9,W10,W11,W12,W13,W14,W15) + + + Y1<-sum(Column1 %in% "Y")/(length(Column1)-spaces1) + Y2<-sum(Column2 %in% "Y")/(length(Column2)-spaces2) + Y3<-sum(Column3 %in% "Y")/(length(Column3)-spaces3) + Y4<-sum(Column4 %in% "Y")/(length(Column4)-spaces4) + Y5<-sum(Column5 %in% "Y")/(length(Column5)-spaces5) + Y6<-sum(Column6 %in% "Y")/(length(Column6)-spaces6) + Y7<-sum(Column7 %in% "Y")/(length(Column7)-spaces7) + Y8<-sum(Column8 %in% "Y")/(length(Column8)-spaces8) + Y9<-sum(Column9 %in% "Y")/(length(Column9)-spaces9) + Y10<-sum(Column10 %in% "Y")/(length(Column10)-spaces10) + Y11<-sum(Column11 %in% "Y")/(length(Column11)-spaces11) + Y12<-sum(Column12 %in% "Y")/(length(Column12)-spaces12) + Y13<-sum(Column13 %in% "Y")/(length(Column13)-spaces13) + Y14<-sum(Column14 %in% "Y")/(length(Column14)-spaces14) + Y15<-sum(Column15 %in% "Y")/(length(Column15)-spaces15) + YllYs<-cbind(Y1,Y2,Y3,Y4,Y5,Y6,Y7,Y8,Y9,Y10,Y11,Y12,Y13,Y14,Y15) +} +#this is substrate percents + +#A C D E F G H I K L N P Q R S T V W Y + +PercentTable<-rbind(AllAs,CllCs,DllDs,EllEs,FllFs,GllGs,HllHs,IllIs,KllKs,LllLs,MllMs,NllNs,PllPs,QllQs,RllRs,SllSs,TllTs,VllVs,WllWs,YllYs) +PercentTable<-PercentTable*100 + +#create the SD table +SDtable<-matrix(data = rep(1,times=(nrow(PercentTable)*ncol(PercentTable))),nrow = nrow(PercentTable),ncol = ncol(PercentTable)) +#for every row, a percertage minus the same mean over the same SD +if(1==1){ + SDtable[1,]<-(PercentTable[1,]-Amean)/Asd + SDtable[2,]<-(PercentTable[2,]-Cmean)/Csd + SDtable[3,]<-(PercentTable[3,]-Dmean)/Dsd + SDtable[4,]<-(PercentTable[4,]-Emean)/Esd + SDtable[5,]<-(PercentTable[5,]-Fmean)/Fsd + SDtable[6,]<-(PercentTable[6,]-Gmean)/Gsd + SDtable[7,]<-(PercentTable[7,]-Hmean)/Hsd + SDtable[8,]<-(PercentTable[8,]-Imean)/Isd + SDtable[9,]<-(PercentTable[9,]-Kmean)/Ksd + SDtable[10,]<-(PercentTable[10,]-Lmean)/Lsd + SDtable[11,]<-(PercentTable[11,]-Mmean)/Msd + SDtable[12,]<-(PercentTable[12,]-Nmean)/Nsd + SDtable[13,]<-(PercentTable[13,]-Pmean)/Psd + SDtable[14,]<-(PercentTable[14,]-Qmean)/Qsd + SDtable[15,]<-(PercentTable[15,]-Rmean)/Rsd + SDtable[16,]<-(PercentTable[16,]-Smean)/Ssd + SDtable[17,]<-(PercentTable[17,]-Tmean)/Tsd + SDtable[18,]<-(PercentTable[18,]-Vmean)/Vsd + SDtable[19,]<-(PercentTable[19,]-Wmean)/Wsd + SDtable[20,]<-(PercentTable[20,]-Ymean)/Ysd +} + + +SetOfAAs<-c("Letter","A","C","D","E","F","G","H","I","K","L","M","N","P","Q","R","S","T","V","W","Y") + + +SumOfSigmaAAs<-c(1:15) + +for (i in 1:15){ + SumOfSigmasValue<-0 + for (j in 1:20){ + value<-0 + if (SDtable[j,i]>2){ + value<-sum(substrates[,i]==SetOfAAs[j]) + } + SumOfSigmasValue<-SumOfSigmasValue+value + } + SumOfSigmaAAs[i]<-SumOfSigmasValue +} + +# AAs1<-length(substrates[,1])-sum(substrates[,1]=="") +# AAs2<-length(substrates[,2])-sum(substrates[,2]=="") +# AAs3<-length(substrates[,3])-sum(substrates[,3]=="") +# AAs4<-length(substrates[,4])-sum(substrates[,4]=="") +# AAs5<-length(substrates[,5])-sum(substrates[,5]=="") +# AAs6<-length(substrates[,6])-sum(substrates[,6]=="") +# AAs7<-length(substrates[,7])-sum(substrates[,7]=="") +# AAs8<-length(substrates[,8])-sum(substrates[,8]=="") +# AAs9<-length(substrates[,9])-sum(substrates[,9]=="") +# +# +# +# #AAsAtPositions<-c(AAs1,AAs2,AAs3,AAs4,AAs5,AAs6,AAs7,AAs8,AAs9) +# AAsAtPositions<-c(length(substrates[,1]),length(substrates[,2]),length(substrates[,3]),length(substrates[,4]), +# length(substrates[,5]),length(substrates[,6]),length(substrates[,7]),length(substrates[,8]), +# length(substrates[,9])) + +SumOfExpectedSigmaAAs<-c(1:15) +for (i in 1:15){ + ExpectedValue<-0 + for (j in 1:20){ + value<-0 + if (SDtable[j,i]>2){ + value<-AllMeans[j] + } + ExpectedValue<-ExpectedValue+value + } + SumOfExpectedSigmaAAs[i]<-ExpectedValue*(length(substrates[,i])-sum(substrates[,i]%in% ""))/100 +} + +SelectivityRow<-SumOfSigmaAAs/SumOfExpectedSigmaAAs +SelectivitySheet<-rbind(SumOfSigmaAAs,SumOfExpectedSigmaAAs,SelectivityRow) + +SetOfAAs<-matrix(data = SetOfAAs,ncol = 1) + +SDtableu<-SDtable +HeaderSD<-c(-7:7) +SDtable<-rbind(HeaderSD,SDtableu) +row.names(SDtable)<-NULL +SDtable<-data.frame(SetOfAAs,SDtable) + +PercentTable<-rbind(HeaderSD,PercentTable) +row.names(PercentTable)<-NULL +PercentTable<-data.frame(SetOfAAs,PercentTable) +numberofY<-as.numeric(SubstrateBackgroundFrequency$Number.of.Y) +numberofY<-numberofY[!is.na(numberofY)] + +numberofPY<-as.numeric(SubstrateBackgroundFrequency$Number.of.pY) +numberofPY<-numberofPY[!is.na(numberofPY)] + +NormalizationScore<-sum(numberofPY)/sum(numberofY) + +# positions<-matrix(data = NA, nrow=20,ncol = 15) +# +# #column1 +# +# for (q in 1:15) { +# sA<-sum(substrates[,i]=="A") +# positions[1,i]<-sA +# sC<-sum(substrates[,i]=="C") +# positions[2,i]<-sC +# sD<-sum(substrates[,i]=="D") +# positions[3,i]<-sD +# sE<-sum(substrates[,i]=="E") +# positions[4,i]<-sE +# sF<-sum(substrates[,i]=="F") +# sG<-sum(substrates[,i]=="G") +# sH<-sum(substrates[,i]=="H") +# sI<-sum(substrates[,i]=="I") +# sK<-sum(substrates[,i]=="K") +# sL<-sum(substrates[,i]=="L") +# sM<-sum(substrates[,i]=="M") +# sN<-sum(substrates[,i]=="N") +# sP<-sum(substrates[,i]=="P") +# sQ<-sum(substrates[,i]=="Q") +# sR<-sum(substrates[,i]=="R") +# sS<-sum(substrates[,i]=="S") +# sT<-sum(substrates[,i]=="T") +# sV<-sum(substrates[,i]=="V") +# sW<-sum(substrates[,i]=="W") +# sY<-sum(substrates[,i]=="Y") +# positions[5,i]<-sF +# positions[6,i]<-sG +# positions[7,i]<-sH +# positions[8,i]<-sI +# positions[9,i]<-sK +# positions[10,i]<-sL +# positions[11,i]<-sM +# positions[12,i]<-sN +# positions[13,i]<-sP +# positions[14,i]<-sQ +# positions[15,i]<-sR +# positions[16,i]<-sS +# positions[17,i]<-sT +# positions[18,i]<-sV +# positions[19,i]<-sW +# positions[20,i]<-sY +# } + +#here I create the positions table which is needed for the endogenous prob matrix and is simply "how many times did an AA show up in this spot? +if (6==6){ + Column1<-substrates[,1] + Column2<-substrates[,2] + Column3<-substrates[,3] + Column4<-substrates[,4] + Column5<-substrates[,5] + Column6<-substrates[,6] + Column7<-substrates[,7] + Column8<-substrates[,8] + Column9<-substrates[,9] + Column10<-substrates[,10] + Column11<-substrates[,11] + Column12<-substrates[,12] + Column13<-substrates[,13] + Column14<-substrates[,14] + Column15<-substrates[,15] + + spaces1<-sum((Column1%in% "")) + spaces2<-sum(Column2%in% "") + spaces3<-sum(Column3%in% "") + spaces4<-sum(Column4%in% "") + spaces5<-sum(Column5%in% "") + spaces6<-sum(Column6%in% "") + spaces7<-sum(Column7%in% "") + spaces8<-sum(Column8%in% "") + spaces9<-sum(Column9%in% "") + spaces10<-sum(Column10%in% "") + spaces11<-sum(Column11%in% "") + spaces12<-sum(Column12%in% "") + spaces13<-sum(Column13%in% "") + spaces14<-sum(Column14%in% "") + spaces15<-sum(Column15%in% "") + + A1<-sum(Column1 %in% "A") + A2<-sum(Column2 %in% "A") + A3<-sum(Column3 %in% "A") + A4<-sum(Column4 %in% "A") + A5<-sum(Column5 %in% "A") + A6<-sum(Column6 %in% "A") + A7<-sum(Column7 %in% "A") + A8<-sum(Column8 %in% "A") + A9<-sum(Column9 %in% "A") + A10<-sum(Column10 %in% "A") + A11<-sum(Column11 %in% "A") + A12<-sum(Column12 %in% "A") + A13<-sum(Column13 %in% "A") + A14<-sum(Column14 %in% "A") + A15<-sum(Column15 %in% "A") + AllAs<-cbind(A1,A2,A3,A4,A5,A6,A7,A8,A9,A10,A11,A12,A13,A14,A15) + + C1<-sum(Column1 %in% "C") + C2<-sum(Column2 %in% "C") + C3<-sum(Column3 %in% "C") + C4<-sum(Column4 %in% "C") + C5<-sum(Column5 %in% "C") + C6<-sum(Column6 %in% "C") + C7<-sum(Column7 %in% "C") + C8<-sum(Column8 %in% "C") + C9<-sum(Column9 %in% "C") + C10<-sum(Column10 %in% "C") + C11<-sum(Column11 %in% "C") + C12<-sum(Column12 %in% "C") + C13<-sum(Column13 %in% "C") + C14<-sum(Column14 %in% "C") + C15<-sum(Column15 %in% "C") + CllCs<-cbind(C1,C2,C3,C4,C5,C6,C7,C8,C9,C10,C11,C12,C13,C14,C15) + + D1<-sum(Column1 %in% "D") + D2<-sum(Column2 %in% "D") + D3<-sum(Column3 %in% "D") + D4<-sum(Column4 %in% "D") + D5<-sum(Column5 %in% "D") + D6<-sum(Column6 %in% "D") + D7<-sum(Column7 %in% "D") + D8<-sum(Column8 %in% "D") + D9<-sum(Column9 %in% "D") + D10<-sum(Column10 %in% "D") + D11<-sum(Column11 %in% "D") + D12<-sum(Column12 %in% "D") + D13<-sum(Column13 %in% "D") + D14<-sum(Column14 %in% "D") + D15<-sum(Column15 %in% "D") + DllDs<-cbind(D1,D2,D3,D4,D5,D6,D7,D8,D9,D10,D11,D12,D13,D14,D15) + + E1<-sum(Column1 %in% "E") + E2<-sum(Column2 %in% "E") + E3<-sum(Column3 %in% "E") + E4<-sum(Column4 %in% "E") + E5<-sum(Column5 %in% "E") + E6<-sum(Column6 %in% "E") + E7<-sum(Column7 %in% "E") + E8<-sum(Column8 %in% "E") + E9<-sum(Column9 %in% "E") + E10<-sum(Column10 %in% "E") + E11<-sum(Column11 %in% "E") + E12<-sum(Column12 %in% "E") + E13<-sum(Column13 %in% "E") + E14<-sum(Column14 %in% "E") + E15<-sum(Column15 %in% "E") + EllEs<-cbind(E1,E2,E3,E4,E5,E6,E7,E8,E9,E10,E11,E12,E13,E14,E15) + + F1<-sum(Column1 %in% "F") + F2<-sum(Column2 %in% "F") + F3<-sum(Column3 %in% "F") + F4<-sum(Column4 %in% "F") + F5<-sum(Column5 %in% "F") + F6<-sum(Column6 %in% "F") + F7<-sum(Column7 %in% "F") + F8<-sum(Column8 %in% "F") + F9<-sum(Column9 %in% "F") + F10<-sum(Column10 %in% "F") + F11<-sum(Column11 %in% "F") + F12<-sum(Column12 %in% "F") + F13<-sum(Column13 %in% "F") + F14<-sum(Column14 %in% "F") + F15<-sum(Column15 %in% "F") + FllFs<-cbind(F1,F2,F3,F4,F5,F6,F7,F8,F9,F10,F11,F12,F13,F14,F15) + + G1<-sum(Column1 %in% "G") + G2<-sum(Column2 %in% "G") + G3<-sum(Column3 %in% "G") + G4<-sum(Column4 %in% "G") + G5<-sum(Column5 %in% "G") + G6<-sum(Column6 %in% "G") + G7<-sum(Column7 %in% "G") + G8<-sum(Column8 %in% "G") + G9<-sum(Column9 %in% "G") + G10<-sum(Column10 %in% "G") + G11<-sum(Column11 %in% "G") + G12<-sum(Column12 %in% "G") + G13<-sum(Column13 %in% "G") + G14<-sum(Column14 %in% "G") + G15<-sum(Column15 %in% "G") + GllGs<-cbind(G1,G2,G3,G4,G5,G6,G7,G8,G9,G10,G11,G12,G13,G14,G15) + + H1<-sum(Column1 %in% "H") + H2<-sum(Column2 %in% "H") + H3<-sum(Column3 %in% "H") + H4<-sum(Column4 %in% "H") + H5<-sum(Column5 %in% "H") + H6<-sum(Column6 %in% "H") + H7<-sum(Column7 %in% "H") + H8<-sum(Column8 %in% "H") + H9<-sum(Column9 %in% "H") + H10<-sum(Column10 %in% "H") + H11<-sum(Column11 %in% "H") + H12<-sum(Column12 %in% "H") + H13<-sum(Column13 %in% "H") + H14<-sum(Column14 %in% "H") + H15<-sum(Column15 %in% "H") + HllHs<-cbind(H1,H2,H3,H4,H5,H6,H7,H8,H9,H10,H11,H12,H13,H14,H15) + + I1<-sum(Column1 %in% "I") + I2<-sum(Column2 %in% "I") + I3<-sum(Column3 %in% "I") + I4<-sum(Column4 %in% "I") + I5<-sum(Column5 %in% "I") + I6<-sum(Column6 %in% "I") + I7<-sum(Column7 %in% "I") + I8<-sum(Column8 %in% "I") + I9<-sum(Column9 %in% "I") + I10<-sum(Column10 %in% "I") + I11<-sum(Column11 %in% "I") + I12<-sum(Column12 %in% "I") + I13<-sum(Column13 %in% "I") + I14<-sum(Column14 %in% "I") + I15<-sum(Column15 %in% "I") + IllIs<-cbind(I1,I2,I3,I4,I5,I6,I7,I8,I9,I10,I11,I12,I13,I14,I15) + + K1<-sum(Column1 %in% "K") + K2<-sum(Column2 %in% "K") + K3<-sum(Column3 %in% "K") + K4<-sum(Column4 %in% "K") + K5<-sum(Column5 %in% "K") + K6<-sum(Column6 %in% "K") + K7<-sum(Column7 %in% "K") + K8<-sum(Column8 %in% "K") + K9<-sum(Column9 %in% "K") + K10<-sum(Column10 %in% "K") + K11<-sum(Column11 %in% "K") + K12<-sum(Column12 %in% "K") + K13<-sum(Column13 %in% "K") + K14<-sum(Column14 %in% "K") + K15<-sum(Column15 %in% "K") + KllKs<-cbind(K1,K2,K3,K4,K5,K6,K7,K8,K9,K10,K11,K12,K13,K14,K15) + + L1<-sum(Column1 %in% "L") + L2<-sum(Column2 %in% "L") + L3<-sum(Column3 %in% "L") + L4<-sum(Column4 %in% "L") + L5<-sum(Column5 %in% "L") + L6<-sum(Column6 %in% "L") + L7<-sum(Column7 %in% "L") + L8<-sum(Column8 %in% "L") + L9<-sum(Column9 %in% "L") + L10<-sum(Column10 %in% "L") + L11<-sum(Column11 %in% "L") + L12<-sum(Column12 %in% "L") + L13<-sum(Column13 %in% "L") + L14<-sum(Column14 %in% "L") + L15<-sum(Column15 %in% "L") + LllLs<-cbind(L1,L2,L3,L4,L5,L6,L7,L8,L9,L10,L11,L12,L13,L14,L15) + + M1<-sum(Column1 %in% "M") + M2<-sum(Column2 %in% "M") + M3<-sum(Column3 %in% "M") + M4<-sum(Column4 %in% "M") + M5<-sum(Column5 %in% "M") + M6<-sum(Column6 %in% "M") + M7<-sum(Column7 %in% "M") + M8<-sum(Column8 %in% "M") + M9<-sum(Column9 %in% "M") + M10<-sum(Column10 %in% "M") + M11<-sum(Column11 %in% "M") + M12<-sum(Column12 %in% "M") + M13<-sum(Column13 %in% "M") + M14<-sum(Column14 %in% "M") + M15<-sum(Column15 %in% "M") + MllMs<-cbind(M1,M2,M3,M4,M5,M6,M7,M8,M9,M10,M11,M12,M13,M14,M15) + + N1<-sum(Column1 %in% "N") + N2<-sum(Column2 %in% "N") + N3<-sum(Column3 %in% "N") + N4<-sum(Column4 %in% "N") + N5<-sum(Column5 %in% "N") + N6<-sum(Column6 %in% "N") + N7<-sum(Column7 %in% "N") + N8<-sum(Column8 %in% "N") + N9<-sum(Column9 %in% "N") + N10<-sum(Column10 %in% "N") + N11<-sum(Column11 %in% "N") + N12<-sum(Column12 %in% "N") + N13<-sum(Column13 %in% "N") + N14<-sum(Column14 %in% "N") + N15<-sum(Column15 %in% "N") + NllNs<-cbind(N1,N2,N3,N4,N5,N6,N7,N8,N9,N10,N11,N12,N13,N14,N15) + + P1<-sum(Column1 %in% "P") + P2<-sum(Column2 %in% "P") + P3<-sum(Column3 %in% "P") + P4<-sum(Column4 %in% "P") + P5<-sum(Column5 %in% "P") + P6<-sum(Column6 %in% "P") + P7<-sum(Column7 %in% "P") + P8<-sum(Column8 %in% "P") + P9<-sum(Column9 %in% "P") + P10<-sum(Column10 %in% "P") + P11<-sum(Column11 %in% "P") + P12<-sum(Column12 %in% "P") + P13<-sum(Column13 %in% "P") + P14<-sum(Column14 %in% "P") + P15<-sum(Column15 %in% "P") + PllPs<-cbind(P1,P2,P3,P4,P5,P6,P7,P8,P9,P10,P11,P12,P13,P14,P15) + + Q1<-sum(Column1 %in% "Q") + Q2<-sum(Column2 %in% "Q") + Q3<-sum(Column3 %in% "Q") + Q4<-sum(Column4 %in% "Q") + Q5<-sum(Column5 %in% "Q") + Q6<-sum(Column6 %in% "Q") + Q7<-sum(Column7 %in% "Q") + Q8<-sum(Column8 %in% "Q") + Q9<-sum(Column9 %in% "Q") + Q10<-sum(Column10 %in% "Q") + Q11<-sum(Column11 %in% "Q") + Q12<-sum(Column12 %in% "Q") + Q13<-sum(Column13 %in% "Q") + Q14<-sum(Column14 %in% "Q") + Q15<-sum(Column15 %in% "Q") + QllQs<-cbind(Q1,Q2,Q3,Q4,Q5,Q6,Q7,Q8,Q9,Q10,Q11,Q12,Q13,Q14,Q15) + + R1<-sum(Column1 %in% "R") + R2<-sum(Column2 %in% "R") + R3<-sum(Column3 %in% "R") + R4<-sum(Column4 %in% "R") + R5<-sum(Column5 %in% "R") + R6<-sum(Column6 %in% "R") + R7<-sum(Column7 %in% "R") + R8<-sum(Column8 %in% "R") + R9<-sum(Column9 %in% "R") + R10<-sum(Column10 %in% "R") + R11<-sum(Column11 %in% "R") + R12<-sum(Column12 %in% "R") + R13<-sum(Column13 %in% "R") + R14<-sum(Column14 %in% "R") + R15<-sum(Column15 %in% "R") + RllRs<-cbind(R1,R2,R3,R4,R5,R6,R7,R8,R9,R10,R11,R12,R13,R14,R15) + + S1<-sum(Column1 %in% "S") + S2<-sum(Column2 %in% "S") + S3<-sum(Column3 %in% "S") + S4<-sum(Column4 %in% "S") + S5<-sum(Column5 %in% "S") + S6<-sum(Column6 %in% "S") + S7<-sum(Column7 %in% "S") + S8<-sum(Column8 %in% "S") + S9<-sum(Column9 %in% "S") + S10<-sum(Column10 %in% "S") + S11<-sum(Column11 %in% "S") + S12<-sum(Column12 %in% "S") + S13<-sum(Column13 %in% "S") + S14<-sum(Column14 %in% "S") + S15<-sum(Column15 %in% "S") + SllSs<-cbind(S1,S2,S3,S4,S5,S6,S7,S8,S9,S10,S11,S12,S13,S14,S15) + + T1<-sum(Column1 %in% "T") + T2<-sum(Column2 %in% "T") + T3<-sum(Column3 %in% "T") + T4<-sum(Column4 %in% "T") + T5<-sum(Column5 %in% "T") + T6<-sum(Column6 %in% "T") + T7<-sum(Column7 %in% "T") + T8<-sum(Column8 %in% "T") + T9<-sum(Column9 %in% "T") + T10<-sum(Column10 %in% "T") + T11<-sum(Column11 %in% "T") + T12<-sum(Column12 %in% "T") + T13<-sum(Column13 %in% "T") + T14<-sum(Column14 %in% "T") + T15<-sum(Column15 %in% "T") + TllTs<-cbind(T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15) + + V1<-sum(Column1 %in% "V") + V2<-sum(Column2 %in% "V") + V3<-sum(Column3 %in% "V") + V4<-sum(Column4 %in% "V") + V5<-sum(Column5 %in% "V") + V6<-sum(Column6 %in% "V") + V7<-sum(Column7 %in% "V") + V8<-sum(Column8 %in% "V") + V9<-sum(Column9 %in% "V") + V10<-sum(Column10 %in% "V") + V11<-sum(Column11 %in% "V") + V12<-sum(Column12 %in% "V") + V13<-sum(Column13 %in% "V") + V14<-sum(Column14 %in% "V") + V15<-sum(Column15 %in% "V") + VllVs<-cbind(V1,V2,V3,V4,V5,V6,V7,V8,V9,V10,V11,V12,V13,V14,V15) + + W1<-sum(Column1 %in% "W") + W2<-sum(Column2 %in% "W") + W3<-sum(Column3 %in% "W") + W4<-sum(Column4 %in% "W") + W5<-sum(Column5 %in% "W") + W6<-sum(Column6 %in% "W") + W7<-sum(Column7 %in% "W") + W8<-sum(Column8 %in% "W") + W9<-sum(Column9 %in% "W") + W10<-sum(Column10 %in% "W") + W11<-sum(Column11 %in% "W") + W12<-sum(Column12 %in% "W") + W13<-sum(Column13 %in% "W") + W14<-sum(Column14 %in% "W") + W15<-sum(Column15 %in% "W") + WllWs<-cbind(W1,W2,W3,W4,W5,W6,W7,W8,W9,W10,W11,W12,W13,W14,W15) + + Y1<-sum(Column1 %in% "Y") + Y2<-sum(Column2 %in% "Y") + Y3<-sum(Column3 %in% "Y") + Y4<-sum(Column4 %in% "Y") + Y5<-sum(Column5 %in% "Y") + Y6<-sum(Column6 %in% "Y") + Y7<-sum(Column7 %in% "Y") + Y8<-sum(Column8 %in% "Y") + Y9<-sum(Column9 %in% "Y") + Y10<-sum(Column10 %in% "Y") + Y11<-sum(Column11 %in% "Y") + Y12<-sum(Column12 %in% "Y") + Y13<-sum(Column13 %in% "Y") + Y14<-sum(Column14 %in% "Y") + Y15<-sum(Column15 %in% "Y") + YllYs<-cbind(Y1,Y2,Y3,Y4,Y5,Y6,Y7,Y8,Y9,Y10,Y11,Y12,Y13,Y14,Y15) + PositionTable<-rbind(AllAs,CllCs,DllDs,EllEs,FllFs,GllGs,HllHs,IllIs,KllKs,LllLs,MllMs,NllNs,PllPs,QllQs,RllRs,SllSs,TllTs,VllVs,WllWs,YllYs) +} +#endogenous prob matrix is AA position over subbackfreqmean +dim(PositionTable) +EPMtable<-PositionTable +# EPMtable[1,]<-(PositionTable[1,]/(PositionTable[1,]*.01*Amean)) +# EPMtable[2,]<-(PositionTable[2,]/(PositionTable[2,]*.01*Cmean)) +# EPMtable[3,]<-(PositionTable[3,]/(PositionTable[3,]*.01*Dmean)) +# EPMtable[4,]<-(PositionTable[4,]/(PositionTable[4,]*.01*Emean)) +# EPMtable[5,]<-(PositionTable[5,]/(PositionTable[5,]*.01*Fmean)) +# EPMtable[6,]<-(PositionTable[6,]/(PositionTable[6,]*.01*Gmean)) +# EPMtable[7,]<-(PositionTable[7,]/(PositionTable[7,]*.01*Hmean)) +# EPMtable[8,]<-(PositionTable[8,]/(PositionTable[8,]*.01*Imean)) +# EPMtable[9,]<-(PositionTable[9,]/(PositionTable[9,]*.01*Kmean)) +# EPMtable[10,]<-(PositionTable[10,]/(PositionTable[10,]*.01*Lmean)) +# EPMtable[11,]<-(PositionTable[11,]/(PositionTable[11,]*.01*Mmean)) +# EPMtable[12,]<-(PositionTable[12,]/(PositionTable[12,]*.01*Nmean)) +# EPMtable[13,]<-(PositionTable[13,]/(PositionTable[13,]*.01*Pmean)) +# EPMtable[14,]<-(PositionTable[14,]/(PositionTable[14,]*.01*Qmean)) +# EPMtable[15,]<-(PositionTable[15,]/(PositionTable[15,]*.01*Rmean)) +# EPMtable[16,]<-(PositionTable[16,]/(PositionTable[16,]*.01*Smean)) +# EPMtable[17,]<-(PositionTable[17,]/(PositionTable[17,]*.01*Tmean)) +# EPMtable[18,]<-(PositionTable[18,]/(PositionTable[18,]*.01*Vmean)) +# EPMtable[19,]<-(PositionTable[19,]/(PositionTable[19,]*.01*Wmean)) +# EPMtable[20,]<-(PositionTable[20,]/(PositionTable[20,]*.01*Ymean)) + +columns<-c(length(Column1)-sum(Column1==""), + length(Column2)-sum(Column2==""), + length(Column3)-sum(Column3==""), + length(Column4)-sum(Column4==""), + length(Column5)-sum(Column5==""), + length(Column6)-sum(Column6==""), + length(Column7)-sum(Column7==""), + length(Column8)-sum(Column8==""), + length(Column9)-sum(Column9==""), + length(Column10)-sum(Column10==""), + length(Column11)-sum(Column11==""), + length(Column12)-sum(Column12==""), + length(Column13)-sum(Column13==""), + length(Column14)-sum(Column14==""), + length(Column15)-sum(Column15=="")) + +for (z in 1:15) { + for (y in 1:20) { + if (PositionTable[y,z]>0){ + EPMtable[y,z]<-PositionTable[y,z]/((columns[z]*.01*AllMeans[y])) + } + if (PositionTable[y,z]==0){ + EPMtable[y,z]<-(1/columns[z])/((columns[z]*.01*AllMeans[y])) + } + } +} +#here I created the endogenous probability matrix +#now all I need to do is make the program automatically determine which SDs are >2, and then make it perform screener and sorter on those SDs + + + + + +# write.xlsx(SDtable,file=FILENAME, sheetName = "Standard Deviation Table",col.names = FALSE,row.names = FALSE,append = TRUE) +# write.xlsx(PercentTable,file = FILENAME,sheetName = "Percent Table",col.names = FALSE,row.names = FALSE,append = TRUE) +# write.xlsx(SelectivitySheet,file = FILENAME,sheetName = "Site Selectivity",col.names = FALSE,row.names = FALSE,append = TRUE) +# write.xlsx(EPMtable,file=FILENAME,sheetName = "Endogenous Probability Matrix",col.names = FALSE,row.names = FALSE,append = TRUE) +# write.xlsx(NormalizationScore,file = FILENAME,sheetName = "Normalization Score",col.names = FALSE,row.names = FALSE,append = TRUE) + +NormalizationScore<-c("Normalization Score",NormalizationScore) + +write.table(x=c("SD Table"),file=FILENAME,append = TRUE,sep=",", row.names = FALSE, col.names = FALSE) +write.table(SDtable,file=FILENAME,append = TRUE,sep=",", row.names = FALSE, col.names = FALSE) +write.table(x=c("Percent Table"),file=FILENAME,append = TRUE,sep=",", row.names = FALSE, col.names = FALSE) +write.table(PercentTable,file=FILENAME, append = TRUE,sep=",",row.names = FALSE, col.names = FALSE) + +EPMtableu<-EPMtable +HeaderSD<-c(-7:7) +EPMtableu<-rbind(HeaderSD,EPMtableu) +row.names(EPMtableu)<-NULL +EPMtableu<-data.frame(SetOfAAs,EPMtableu) + +write.table("Site Selectivity Matrix", file = FILENAME2, append = TRUE, sep = ",", row.names = FALSE, col.names = FALSE) +SelectivityHeader=matrix(data = c("Position",-7,-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6,7),nrow = 1) +head<-matrix(data=rep(" ",times=16),nrow = 1) +SelectivityHeader<-rbind(head,SelectivityHeader) + +write.table(SelectivityHeader, file = FILENAME2, append = TRUE, sep = ",", row.names = FALSE, col.names = FALSE) +#colnames(SelectivitySheet)<-c("-7","-6","-5","-4","-3","-2","-1","0","1","2","3","4","5","6","7") +write.table(SelectivitySheet,file = FILENAME2, append = TRUE,sep = ",",row.names = TRUE, col.names = FALSE) +write.table(x=c("Endogenous Probability Matrix"),file=FILENAME2,append = TRUE,sep=",", row.names = FALSE, col.names = FALSE) +write.table(EPMtableu,file = FILENAME2, append = TRUE,sep = ",",row.names = FALSE, col.names = FALSE) +write.table(NormalizationScore, file = FILENAME2, append = TRUE,sep = ",",row.names = FALSE, col.names = FALSE) + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +#test myself: this script should take in amino acids for each of the 9 positions and give out every single combination of those AAs + +#need to do following: fix it so that the accession numbers stay with the substrates, +#also the neg false constant is totaly unphos'd Ys found by FASTA-2-CSV system# uniprot + +#HOW MANY: IF THERE'S two aas in each position you get 2^9, so I assume the numbers are: +#(number in position-4)*(number in position -3)*(number in position -2)...=total +# require(rJava) +# require(xlsxjars) +# require(xlsx) +# # require(readxl) + +#View(SDtable) +bareSDs<-SDtable[2:21,2:16] +goodones<-bareSDs>2 + +Positionm7<-which(goodones[,1] %in% TRUE) +if (length(Positionm7)<1){Positionm7<-which(bareSDs[,1]==max(bareSDs[,1]))} +Positionm6<-which(goodones[,2] %in% TRUE) +if (length(Positionm6)<1){Positionm6<-which(bareSDs[,2]==max(bareSDs[,2]))} +Positionm5<-which(goodones[,3] %in% TRUE) +if (length(Positionm5)<1){Positionm5<-which(bareSDs[,3]==max(bareSDs[,3]))} +Positionm4<-which(goodones[,4] %in% TRUE) +if (length(Positionm4)<1){Positionm4<-which(bareSDs[,4]==max(bareSDs[,4]))} +Positionm3<-which(goodones[,5] %in% TRUE) +if (length(Positionm3)<1){Positionm3<-which(bareSDs[,5]==max(bareSDs[,5]))} +Positionm2<-which(goodones[,6] %in% TRUE) +if (length(Positionm2)<1){Positionm2<-which(bareSDs[,6]==max(bareSDs[,6]))} +Positionm1<-which(goodones[,7] %in% TRUE) +if (length(Positionm1)<1){Positionm1<-which(bareSDs[,7]==max(bareSDs[,7]))} + +Positiond0<-which(goodones[,8] %in% TRUE) +if (length(Positiond0)<1){Positiond0<-which(bareSDs[,8]==max(bareSDs[,8]))} + +Positionp1<-which(goodones[,9] %in% TRUE) +if (length(Positionp1)<1){Positionp1<-which(bareSDs[,9]==max(bareSDs[,9]))} +Positionp2<-which(goodones[,10] %in% TRUE) +if (length(Positionp2)<1){Positionp2<-which(bareSDs[,10]==max(bareSDs[,10]))} +Positionp3<-which(goodones[,11] %in% TRUE) +if (length(Positionp3)<1){Positionp3<-which(bareSDs[,11]==max(bareSDs[,11]))} +Positionp4<-which(goodones[,12] %in% TRUE) +if (length(Positionp4)<1){Positionp4<-which(bareSDs[,12]==max(bareSDs[,12]))} +Positionp5<-which(goodones[,13] %in% TRUE) +if (length(Positionp5)<1){Positionp5<-which(bareSDs[,13]==max(bareSDs[,13]))} +Positionp6<-which(goodones[,14] %in% TRUE) +if (length(Positionp6)<1){Positionp6<-which(bareSDs[,14]==max(bareSDs[,14]))} +Positionp7<-which(goodones[,15] %in% TRUE) +if (length(Positionp7)<1){Positionp7<-which(bareSDs[,15]==max(bareSDs[,15]))} + +aa_props2 <- c("1"="A", "2"="C", "3"="D", "4"="E", "5"="F", "6"="G", "7"="H", "8"="I", "9"="K", "10"="L", "11"="M", "12"="N", + "13"="P", "14"="Q", "15"="R", "16"="S", "17"="T", "18"="V", "19"="W", "20"="Y") + +Positionm7<-sapply(Positionm7, function (x) aa_props2[x]) +Positionm6<-sapply(Positionm6, function (x) aa_props2[x]) +Positionm5<-sapply(Positionm5, function (x) aa_props2[x]) +Positionm4<-sapply(Positionm4, function (x) aa_props2[x]) +Positionm3<-sapply(Positionm3, function (x) aa_props2[x]) +Positionm2<-sapply(Positionm2, function (x) aa_props2[x]) +Positionm1<-sapply(Positionm1, function (x) aa_props2[x]) +Positiond0<-sapply(Positiond0, function (x) aa_props2[x]) +Positionp1<-sapply(Positionp1, function (x) aa_props2[x]) +Positionp2<-sapply(Positionp2, function (x) aa_props2[x]) +Positionp3<-sapply(Positionp3, function (x) aa_props2[x]) +Positionp4<-sapply(Positionp4, function (x) aa_props2[x]) +Positionp5<-sapply(Positionp5, function (x) aa_props2[x]) +Positionp6<-sapply(Positionp6, function (x) aa_props2[x]) +Positionp7<-sapply(Positionp7, function (x) aa_props2[x]) + + +# Positionm7<-c("D","H","N","V") +# Positionm6<-c("E","V") +# Positionm5<-c("D","H") +# Positionm4<-c("D","N") +# Positionm3<-c("D","E","F","Q") +# Positionm2<-c("D","N","Q","S") +# Positionm1<-c("F","I","L") +# Positiond0<-c("Y") +# Positionp1<-c("A","E") +# Positionp2<-c("T","S","Q","E") +# Positionp3<-c("V") +# Positionp4<-c("K") +# Positionp5<-c("K") +# Positionp6<-c("K") +# Positionp7<-c("R") +#this is where the amino acids for each position are given. m means minus, p mean plus +######################################## +# ScreenerFilename<-"C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls" + + + + + + + + + + + +screaner<-read.csv(ScreenerFilename, header = FALSE, stringsAsFactors = FALSE) + + +Abl<-screaner[2:25,] +Arg<-screaner[27:50,] +Btk<-screaner[52:75,] +Csk<-screaner[77:100,] +Fyn<-screaner[102:125,] +Hck<-screaner[127:150,] +JAK2<-screaner[152:175,] +Lck<-screaner[177:200,] +Lyn<-screaner[202:225,] +Pyk2<-screaner[227:250,] +Src<-screaner[252:275,] +Syk<-screaner[277:300,] +Yes<-screaner[302:325,] + +#two questions: why are we doing BTK when we already have a bioninformatics page about it? +#two I reran everything and only get 96 positions of interest in the SD table + + + + + + + + + +#Do_You_want_An_Excel_Output_Questionmark<-"NO" +GeneratedPeptidesFile<-"GeneratedPeptidesFile.csv" + + +# Abl<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 4) +# Arg<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 5) +# Btk<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 6) +# Csk<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 7) +# Fyn<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 8) +# Hck<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 9) +# JAK2<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 10) +# Lck<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 11) +# Lyn<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 12) +# Pyk2<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 13) +# Src<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 14) +# Syk<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 15) +# Yes<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 16) +# + + +"A"=1 +"C"=2 +"D"=3 +"E"=4 +"F"=5 +"G"=6 +"H"=7 +"I"=8 +"K"=9 +"L"=10 +"M"=11 +"N"=12 +"P"=13 +"Q"=14 +"R"=15 +"S"=16 +"T"=17 +"V"=18 +"W"=19 +"Y"=20 + +aa_props <- c("A"=A, "C"=C, "D"=D, "E"=E, "F"=F,"G"=G,"H"=H,"I"=I,"K"=K,"L"=L,"M"=M,"N"=N,"P"=P,"Q"=Q,"R"=R, + "S"=S,"T"=T,"V"=V,"W"=W,"Y"=Y,"xY"=Y,"O"=21) + +number15<-sapply(Positionm7, function (x) aa_props[x]) +number14<-sapply(Positionm6, function (x) aa_props[x]) +number13<-sapply(Positionm5, function (x) aa_props[x]) +number1 <- sapply(Positionm4, function (x) aa_props[x]) +number2 <- sapply(Positionm3, function (x) aa_props[x]) +number3 <- sapply(Positionm2, function (x) aa_props[x]) +number4 <- sapply(Positionm1, function (x) aa_props[x]) +number5 <- sapply(Positiond0, function (x) aa_props[x]) +number6 <- sapply(Positionp1, function (x) aa_props[x]) +number7 <- sapply(Positionp2, function (x) aa_props[x]) +number8 <- sapply(Positionp3, function (x) aa_props[x]) +number9 <- sapply(Positionp4, function (x) aa_props[x]) +number10<-sapply(Positionp5, function (x) aa_props[x]) +number11<-sapply(Positionp6, function (x) aa_props[x]) +number12<-sapply(Positionp7, function (x) aa_props[x]) + +# number1<-Positionm4 +# number2<-Positionm3 +# number3<-Positionm2 +# number4<-Positionm1 +# number5<-Positiond0 +# number6<-Positionp1 +# number7<-Positionp2 +# number8<-Positionp3 +# number9<-Positionp4 + +############################# +#here I create the Abl seqs with proper value for each number +if (1==0){ + Ablnumber1<- gsub("A",A,Ablnumber1,perl = TRUE) + Ablnumber1<- gsub("C",C,Ablnumber1,perl = TRUE) + Ablnumber1<- gsub("D",D,Ablnumber1,perl = TRUE) + Ablnumber1<- gsub("E",E,Ablnumber1,perl = TRUE) + Ablnumber1<- gsub("F",F,Ablnumber1,perl = TRUE) + Ablnumber1<- gsub("G",G,Ablnumber1,perl = TRUE) + Ablnumber1<- gsub("H",H,Ablnumber1,perl = TRUE) + Ablnumber1<- gsub("I",I,Ablnumber1,perl = TRUE) + Ablnumber1<- gsub("K",K,Ablnumber1,perl = TRUE) + Ablnumber1<- gsub("L",L,Ablnumber1,perl = TRUE) + Ablnumber1<- gsub("M",M,Ablnumber1,perl = TRUE) + Ablnumber1<- gsub("N",N,Ablnumber1,perl = TRUE) + Ablnumber1<- gsub("P",P,Ablnumber1,perl = TRUE) + Ablnumber1<- gsub("Q",Q,Ablnumber1,perl = TRUE) + Ablnumber1<- gsub("R",R,Ablnumber1,perl = TRUE) + Ablnumber1<- gsub("S",S,Ablnumber1,perl = TRUE) + Ablnumber1<- gsub("T",T,Ablnumber1,perl = TRUE) + Ablnumber1<- gsub("V",V,Ablnumber1,perl = TRUE) + Ablnumber1<- gsub("W",W,Ablnumber1,perl = TRUE) + Ablnumber1<- gsub("Y",Y,Ablnumber1,perl = TRUE) + + Ablnumber2<- gsub("A",A,Ablnumber2,perl = TRUE) + Ablnumber2<- gsub("C",C,Ablnumber2,perl = TRUE) + Ablnumber2<- gsub("D",D,Ablnumber2,perl = TRUE) + Ablnumber2<- gsub("E",E,Ablnumber2,perl = TRUE) + Ablnumber2<- gsub("F",F,Ablnumber2,perl = TRUE) + Ablnumber2<- gsub("G",G,Ablnumber2,perl = TRUE) + Ablnumber2<- gsub("H",H,Ablnumber2,perl = TRUE) + Ablnumber2<- gsub("I",I,Ablnumber2,perl = TRUE) + Ablnumber2<- gsub("K",K,Ablnumber2,perl = TRUE) + Ablnumber2<- gsub("L",L,Ablnumber2,perl = TRUE) + Ablnumber2<- gsub("M",M,Ablnumber2,perl = TRUE) + Ablnumber2<- gsub("N",N,Ablnumber2,perl = TRUE) + Ablnumber2<- gsub("P",P,Ablnumber2,perl = TRUE) + Ablnumber2<- gsub("Q",Q,Ablnumber2,perl = TRUE) + Ablnumber2<- gsub("R",R,Ablnumber2,perl = TRUE) + Ablnumber2<- gsub("S",S,Ablnumber2,perl = TRUE) + Ablnumber2<- gsub("T",T,Ablnumber2,perl = TRUE) + Ablnumber2<- gsub("V",V,Ablnumber2,perl = TRUE) + Ablnumber2<- gsub("W",W,Ablnumber2,perl = TRUE) + Ablnumber2<- gsub("Y",Y,Ablnumber2,perl = TRUE) + + Ablnumber3<- gsub("A",A,Ablnumber3,perl = TRUE) + Ablnumber3<- gsub("C",C,Ablnumber3,perl = TRUE) + Ablnumber3<- gsub("D",D,Ablnumber3,perl = TRUE) + Ablnumber3<- gsub("E",E,Ablnumber3,perl = TRUE) + Ablnumber3<- gsub("F",F,Ablnumber3,perl = TRUE) + Ablnumber3<- gsub("G",G,Ablnumber3,perl = TRUE) + Ablnumber3<- gsub("H",H,Ablnumber3,perl = TRUE) + Ablnumber3<- gsub("I",I,Ablnumber3,perl = TRUE) + Ablnumber3<- gsub("K",K,Ablnumber3,perl = TRUE) + Ablnumber3<- gsub("L",L,Ablnumber3,perl = TRUE) + Ablnumber3<- gsub("M",M,Ablnumber3,perl = TRUE) + Ablnumber3<- gsub("N",N,Ablnumber3,perl = TRUE) + Ablnumber3<- gsub("P",P,Ablnumber3,perl = TRUE) + Ablnumber3<- gsub("Q",Q,Ablnumber3,perl = TRUE) + Ablnumber3<- gsub("R",R,Ablnumber3,perl = TRUE) + Ablnumber3<- gsub("S",S,Ablnumber3,perl = TRUE) + Ablnumber3<- gsub("T",T,Ablnumber3,perl = TRUE) + Ablnumber3<- gsub("V",V,Ablnumber3,perl = TRUE) + Ablnumber3<- gsub("W",W,Ablnumber3,perl = TRUE) + Ablnumber3<- gsub("Y",Y,Ablnumber3,perl = TRUE) + + Ablnumber4<- gsub("A",A,Ablnumber4,perl = TRUE) + Ablnumber4<- gsub("C",C,Ablnumber4,perl = TRUE) + Ablnumber4<- gsub("D",D,Ablnumber4,perl = TRUE) + Ablnumber4<- gsub("E",E,Ablnumber4,perl = TRUE) + Ablnumber4<- gsub("F",F,Ablnumber4,perl = TRUE) + Ablnumber4<- gsub("G",G,Ablnumber4,perl = TRUE) + Ablnumber4<- gsub("H",H,Ablnumber4,perl = TRUE) + Ablnumber4<- gsub("I",I,Ablnumber4,perl = TRUE) + Ablnumber4<- gsub("K",K,Ablnumber4,perl = TRUE) + Ablnumber4<- gsub("L",L,Ablnumber4,perl = TRUE) + Ablnumber4<- gsub("M",M,Ablnumber4,perl = TRUE) + Ablnumber4<- gsub("N",N,Ablnumber4,perl = TRUE) + Ablnumber4<- gsub("P",P,Ablnumber4,perl = TRUE) + Ablnumber4<- gsub("Q",Q,Ablnumber4,perl = TRUE) + Ablnumber4<- gsub("R",R,Ablnumber4,perl = TRUE) + Ablnumber4<- gsub("S",S,Ablnumber4,perl = TRUE) + Ablnumber4<- gsub("T",T,Ablnumber4,perl = TRUE) + Ablnumber4<- gsub("V",V,Ablnumber4,perl = TRUE) + Ablnumber4<- gsub("W",W,Ablnumber4,perl = TRUE) + Ablnumber4<- gsub("Y",Y,Ablnumber4,perl = TRUE) + + Ablnumber5<- gsub("A",A,Ablnumber5,perl = TRUE) + Ablnumber5<- gsub("C",C,Ablnumber5,perl = TRUE) + Ablnumber5<- gsub("D",D,Ablnumber5,perl = TRUE) + Ablnumber5<- gsub("E",E,Ablnumber5,perl = TRUE) + Ablnumber5<- gsub("F",F,Ablnumber5,perl = TRUE) + Ablnumber5<- gsub("G",G,Ablnumber5,perl = TRUE) + Ablnumber5<- gsub("H",H,Ablnumber5,perl = TRUE) + Ablnumber5<- gsub("I",I,Ablnumber5,perl = TRUE) + Ablnumber5<- gsub("K",K,Ablnumber5,perl = TRUE) + Ablnumber5<- gsub("L",L,Ablnumber5,perl = TRUE) + Ablnumber5<- gsub("M",M,Ablnumber5,perl = TRUE) + Ablnumber5<- gsub("N",N,Ablnumber5,perl = TRUE) + Ablnumber5<- gsub("P",P,Ablnumber5,perl = TRUE) + Ablnumber5<- gsub("Q",Q,Ablnumber5,perl = TRUE) + Ablnumber5<- gsub("R",R,Ablnumber5,perl = TRUE) + Ablnumber5<- gsub("S",S,Ablnumber5,perl = TRUE) + Ablnumber5<- gsub("T",T,Ablnumber5,perl = TRUE) + Ablnumber5<- gsub("V",V,Ablnumber5,perl = TRUE) + Ablnumber5<- gsub("W",W,Ablnumber5,perl = TRUE) + Ablnumber5<- gsub("Y",Y,Ablnumber5,perl = TRUE) + + Ablnumber6<- gsub("A",A,Ablnumber6,perl = TRUE) + Ablnumber6<- gsub("C",C,Ablnumber6,perl = TRUE) + Ablnumber6<- gsub("D",D,Ablnumber6,perl = TRUE) + Ablnumber6<- gsub("E",E,Ablnumber6,perl = TRUE) + Ablnumber6<- gsub("F",F,Ablnumber6,perl = TRUE) + Ablnumber6<- gsub("G",G,Ablnumber6,perl = TRUE) + Ablnumber6<- gsub("H",H,Ablnumber6,perl = TRUE) + Ablnumber6<- gsub("I",I,Ablnumber6,perl = TRUE) + Ablnumber6<- gsub("K",K,Ablnumber6,perl = TRUE) + Ablnumber6<- gsub("L",L,Ablnumber6,perl = TRUE) + Ablnumber6<- gsub("M",M,Ablnumber6,perl = TRUE) + Ablnumber6<- gsub("N",N,Ablnumber6,perl = TRUE) + Ablnumber6<- gsub("P",P,Ablnumber6,perl = TRUE) + Ablnumber6<- gsub("Q",Q,Ablnumber6,perl = TRUE) + Ablnumber6<- gsub("R",R,Ablnumber6,perl = TRUE) + Ablnumber6<- gsub("S",S,Ablnumber6,perl = TRUE) + Ablnumber6<- gsub("T",T,Ablnumber6,perl = TRUE) + Ablnumber6<- gsub("V",V,Ablnumber6,perl = TRUE) + Ablnumber6<- gsub("W",W,Ablnumber6,perl = TRUE) + Ablnumber6<- gsub("Y",Y,Ablnumber6,perl = TRUE) + + Ablnumber7<- gsub("A",A,Ablnumber7,perl = TRUE) + Ablnumber7<- gsub("C",C,Ablnumber7,perl = TRUE) + Ablnumber7<- gsub("D",D,Ablnumber7,perl = TRUE) + Ablnumber7<- gsub("E",E,Ablnumber7,perl = TRUE) + Ablnumber7<- gsub("F",F,Ablnumber7,perl = TRUE) + Ablnumber7<- gsub("G",G,Ablnumber7,perl = TRUE) + Ablnumber7<- gsub("H",H,Ablnumber7,perl = TRUE) + Ablnumber7<- gsub("I",I,Ablnumber7,perl = TRUE) + Ablnumber7<- gsub("K",K,Ablnumber7,perl = TRUE) + Ablnumber7<- gsub("L",L,Ablnumber7,perl = TRUE) + Ablnumber7<- gsub("M",M,Ablnumber7,perl = TRUE) + Ablnumber7<- gsub("N",N,Ablnumber7,perl = TRUE) + Ablnumber7<- gsub("P",P,Ablnumber7,perl = TRUE) + Ablnumber7<- gsub("Q",Q,Ablnumber7,perl = TRUE) + Ablnumber7<- gsub("R",R,Ablnumber7,perl = TRUE) + Ablnumber7<- gsub("S",S,Ablnumber7,perl = TRUE) + Ablnumber7<- gsub("T",T,Ablnumber7,perl = TRUE) + Ablnumber7<- gsub("V",V,Ablnumber7,perl = TRUE) + Ablnumber7<- gsub("W",W,Ablnumber7,perl = TRUE) + Ablnumber7<- gsub("Y",Y,Ablnumber7,perl = TRUE) + + Ablnumber8<- gsub("A",A,Ablnumber8,perl = TRUE) + Ablnumber8<- gsub("C",C,Ablnumber8,perl = TRUE) + Ablnumber8<- gsub("D",D,Ablnumber8,perl = TRUE) + Ablnumber8<- gsub("E",E,Ablnumber8,perl = TRUE) + Ablnumber8<- gsub("F",F,Ablnumber8,perl = TRUE) + Ablnumber8<- gsub("G",G,Ablnumber8,perl = TRUE) + Ablnumber8<- gsub("H",H,Ablnumber8,perl = TRUE) + Ablnumber8<- gsub("I",I,Ablnumber8,perl = TRUE) + Ablnumber8<- gsub("K",K,Ablnumber8,perl = TRUE) + Ablnumber8<- gsub("L",L,Ablnumber8,perl = TRUE) + Ablnumber8<- gsub("M",M,Ablnumber8,perl = TRUE) + Ablnumber8<- gsub("N",N,Ablnumber8,perl = TRUE) + Ablnumber8<- gsub("P",P,Ablnumber8,perl = TRUE) + Ablnumber8<- gsub("Q",Q,Ablnumber8,perl = TRUE) + Ablnumber8<- gsub("R",R,Ablnumber8,perl = TRUE) + Ablnumber8<- gsub("S",S,Ablnumber8,perl = TRUE) + Ablnumber8<- gsub("T",T,Ablnumber8,perl = TRUE) + Ablnumber8<- gsub("V",V,Ablnumber8,perl = TRUE) + Ablnumber8<- gsub("W",W,Ablnumber8,perl = TRUE) + Ablnumber8<- gsub("Y",Y,Ablnumber8,perl = TRUE) + + Ablnumber9<- gsub("A",A,Ablnumber9,perl = TRUE) + Ablnumber9<- gsub("C",C,Ablnumber9,perl = TRUE) + Ablnumber9<- gsub("D",D,Ablnumber9,perl = TRUE) + Ablnumber9<- gsub("E",E,Ablnumber9,perl = TRUE) + Ablnumber9<- gsub("F",F,Ablnumber9,perl = TRUE) + Ablnumber9<- gsub("G",G,Ablnumber9,perl = TRUE) + Ablnumber9<- gsub("H",H,Ablnumber9,perl = TRUE) + Ablnumber9<- gsub("I",I,Ablnumber9,perl = TRUE) + Ablnumber9<- gsub("K",K,Ablnumber9,perl = TRUE) + Ablnumber9<- gsub("L",L,Ablnumber9,perl = TRUE) + Ablnumber9<- gsub("M",M,Ablnumber9,perl = TRUE) + Ablnumber9<- gsub("N",N,Ablnumber9,perl = TRUE) + Ablnumber9<- gsub("P",P,Ablnumber9,perl = TRUE) + Ablnumber9<- gsub("Q",Q,Ablnumber9,perl = TRUE) + Ablnumber9<- gsub("R",R,Ablnumber9,perl = TRUE) + Ablnumber9<- gsub("S",S,Ablnumber9,perl = TRUE) + Ablnumber9<- gsub("T",T,Ablnumber9,perl = TRUE) + Ablnumber9<- gsub("V",V,Ablnumber9,perl = TRUE) + Ablnumber9<- gsub("W",W,Ablnumber9,perl = TRUE) + Ablnumber9<- gsub("Y",Y,Ablnumber9,perl = TRUE) +} +######################################## + + +total=length(Positionp7)*length(Positionp6)*length(Positionp5)*length(Positionp4)*length(Positionp3)*(length(Positionp2))*length(Positionp1)* + length(Positiond0)*length(Positionm1)*length(Positionm2)*length(Positionm3)*length(Positionm4)*length(Positionm5)*length(Positionm6)*length(Positionm7) +#this is just a way to doublecheck that the length of the generated peptides vector is correct + +GeneratedPeptides<-rep(NA, times=total*15) +GeneratedPeptides<-matrix(data = GeneratedPeptides,ncol = 15) + +NumeratedPeptides<-GeneratedPeptides +#create an empty vector of correct length by finding the number of each AAs per position and multiplying them +count<-0 +for (t in 1:length(Positionm7)) { + for (s in 1:length(Positionm6)) { + for (r in 1:length(Positionm5)) { + for (i in 1:length(Positionm4)) { + for (j in 1:length(Positionm3)) { + for (k in 1:length(Positionm2)) { + for (l in 1:length(Positionm1)) { + for (m in 1:length(Positiond0)) { + for (n in 1:length(Positionp1)) { + for (o in 1:length(Positionp2)) { + for (p in 1:length(Positionp3)) { + for (q in 1:length(Positionp4)) { + for (u in 1:length(Positionp5)) { + for (v in 1:length(Positionp6)) { + for (w in 1:length(Positionp7)) { + # i=1 + # j=1 + # k=1 + # l=1 + # m=1 + # n=1 + # o=1 + # p=1 + # q=1 + # + #for every single position, increment the count number, create a peptide using the AAs at that position + #then put them together into the generated peptides sequencex + count<-count+1 + tabulation<-c(Positionm7[t],Positionm6[s],Positionm5[r],Positionm4[i],Positionm3[j],Positionm2[k],Positionm1[l],Positiond0[m],Positionp1[n], + Positionp2[o],Positionp3[p],Positionp4[q],Positionp5[u],Positionp6[v],Positionp7[w]) + numeration<-c(number15[t],number14[s],number13[r],number1[i],number2[j],number3[k],number4[l],number5[m],number6[n],number7[o],number8[p],number9[q],number10[u],number11[v], + number12[w]) + #tabulation<-paste(tabulation, sep="", collapse="") + GeneratedPeptides[count,1:15]<-tabulation + NumeratedPeptides[count,1:15]<-numeration + } + } + } + } + } + } + } + } + } + } + } + } + } + } +} +#################################################################### +#now here I use the Endogenous Probabilty matrix from the previous script, which is called EMPtable +#to score the created peptides +ThisKinTable<-EPMtableu#[1:nrow(SDtable),] +TKTcolumn<-c(data=rep(1,times=21)) +TKTcolumn<-as.matrix(TKTcolumn,ncol=1) +ThisKinTable<-cbind(TKTcolumn,ThisKinTable) + +ThisKinGeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) +ThisKinGenWeirdScore<-rep(NA,times=nrow(GeneratedPeptides)) + +for (x in 1:nrow(GeneratedPeptides)){ + Scoringpeptide<-NumeratedPeptides[x,1:15] + Scoringpeptide<-Scoringpeptide+1 + ThisKinTableScore<-as.numeric(ThisKinTable[Scoringpeptide[1],3])*ThisKinTable[as.numeric(Scoringpeptide[2]),4]*ThisKinTable[as.numeric(Scoringpeptide[3]),5]* + ThisKinTable[as.numeric(Scoringpeptide[4]),6]*ThisKinTable[as.numeric(Scoringpeptide[5]),7]*ThisKinTable[as.numeric(Scoringpeptide[6]),8]*ThisKinTable[as.numeric(Scoringpeptide[7]),9]* + #ThisKinTable[as.numeric(Scoringpeptide[8]),10]* + ThisKinTable[as.numeric(Scoringpeptide[9]),11]*ThisKinTable[as.numeric(Scoringpeptide[10]),12]*ThisKinTable[as.numeric(Scoringpeptide[11]),13]* + ThisKinTable[as.numeric(Scoringpeptide[12]),14]*ThisKinTable[as.numeric(Scoringpeptide[13]),15]*ThisKinTable[as.numeric(Scoringpeptide[14]),16]*ThisKinTable[as.numeric(Scoringpeptide[15]),17] + ThisKinGeneratedScores[x]<-ThisKinTableScore + ThisKinTableScore<-(ThisKinTableScore/(ThisKinTableScore+1/as.numeric(NormalizationScore[2]))) + ThisKinGenWeirdScore[x]<-ThisKinTableScore +} + +AblGeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) +ArgGeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) +BtkGeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) +CskGeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) +FynGeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) +HckGeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) +JAK2GeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) +LckGeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) +LynGeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) +Pyk2GeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) +SrcGeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) +SykGeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) +YesGeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) + + +for (x in 1:nrow(GeneratedPeptides)){ + Scoringpeptide<-NumeratedPeptides[x,1:15] + AblScore<-Abl[Scoringpeptide[1],2]*Abl[Scoringpeptide[2],3]*Abl[Scoringpeptide[3],4]*Abl[Scoringpeptide[4],5]*Abl[Scoringpeptide[5],6]*Abl[Scoringpeptide[6],7]* + Abl[Scoringpeptide[7],8]*Abl[Scoringpeptide[9],10]*Abl[Scoringpeptide[10],11]*Abl[Scoringpeptide[11],12]*Abl[Scoringpeptide[12],13]* + Abl[Scoringpeptide[13],14]*Abl[Scoringpeptide[14],15]*Abl[Scoringpeptide[15],16] + AblGeneratedScores[x]<-AblScore + + ArgScore<-Arg[Scoringpeptide[1],2]*Arg[Scoringpeptide[2],3]*Arg[Scoringpeptide[3],4]*Arg[Scoringpeptide[4],5]*Arg[Scoringpeptide[5],6]*Arg[Scoringpeptide[6],7]* + Arg[Scoringpeptide[7],8]*Arg[Scoringpeptide[9],10]*Arg[Scoringpeptide[10],11]*Arg[Scoringpeptide[11],12]*Arg[Scoringpeptide[12],13]* + Arg[Scoringpeptide[13],14]*Arg[Scoringpeptide[14],15]*Arg[Scoringpeptide[15],16] + ArgGeneratedScores[x]<-ArgScore + + BtkScore<-Btk[Scoringpeptide[1],2]*Btk[Scoringpeptide[2],3]*Btk[Scoringpeptide[3],4]*Btk[Scoringpeptide[4],5]*Btk[Scoringpeptide[5],6]*Btk[Scoringpeptide[6],7]* + Btk[Scoringpeptide[7],8]*Btk[Scoringpeptide[9],10]*Btk[Scoringpeptide[10],11]*Btk[Scoringpeptide[11],12]*Btk[Scoringpeptide[12],13]* + Btk[Scoringpeptide[13],14]*Btk[Scoringpeptide[14],15]*Btk[Scoringpeptide[15],16] + BtkGeneratedScores[x]<-BtkScore + + CskScore<-Csk[Scoringpeptide[1],2]*Csk[Scoringpeptide[2],3]*Csk[Scoringpeptide[3],4]*Csk[Scoringpeptide[4],5]*Csk[Scoringpeptide[5],6]*Csk[Scoringpeptide[6],7]* + Csk[Scoringpeptide[7],8]*Csk[Scoringpeptide[9],10]*Csk[Scoringpeptide[10],11]*Csk[Scoringpeptide[11],12]*Csk[Scoringpeptide[12],13]* + Csk[Scoringpeptide[13],14]*Csk[Scoringpeptide[14],15]*Csk[Scoringpeptide[15],16] + CskGeneratedScores[x]<-CskScore + + FynScore<-Fyn[Scoringpeptide[1],2]*Fyn[Scoringpeptide[2],3]*Fyn[Scoringpeptide[3],4]*Fyn[Scoringpeptide[4],5]*Fyn[Scoringpeptide[5],6]*Fyn[Scoringpeptide[6],7]* + Fyn[Scoringpeptide[7],8]*Fyn[Scoringpeptide[9],10]*Fyn[Scoringpeptide[10],11]*Fyn[Scoringpeptide[11],12]*Fyn[Scoringpeptide[12],13]* + Fyn[Scoringpeptide[13],14]*Fyn[Scoringpeptide[14],15]*Fyn[Scoringpeptide[15],16] + FynGeneratedScores[x]<-FynScore + + HckScore<-Hck[Scoringpeptide[1],2]*Hck[Scoringpeptide[2],3]*Hck[Scoringpeptide[3],4]*Hck[Scoringpeptide[4],5]*Hck[Scoringpeptide[5],6]*Hck[Scoringpeptide[6],7]* + Hck[Scoringpeptide[7],8]*Hck[Scoringpeptide[9],10]*Hck[Scoringpeptide[10],11]*Hck[Scoringpeptide[11],12]*Hck[Scoringpeptide[12],13]* + Hck[Scoringpeptide[13],14]*Hck[Scoringpeptide[14],15]*Hck[Scoringpeptide[15],16] + HckGeneratedScores[x]<-HckScore + + JAK2Score<-JAK2[Scoringpeptide[1],2]*JAK2[Scoringpeptide[2],3]*JAK2[Scoringpeptide[3],4]*JAK2[Scoringpeptide[4],5]*JAK2[Scoringpeptide[5],6]*JAK2[Scoringpeptide[6],7]* + JAK2[Scoringpeptide[7],8]*JAK2[Scoringpeptide[9],10]*JAK2[Scoringpeptide[10],11]*JAK2[Scoringpeptide[11],12]*JAK2[Scoringpeptide[12],13]* + JAK2[Scoringpeptide[13],14]*JAK2[Scoringpeptide[14],15]*JAK2[Scoringpeptide[15],16] + JAK2GeneratedScores[x]<-JAK2Score + + LckScore<-Lck[Scoringpeptide[1],2]*Lck[Scoringpeptide[2],3]*Lck[Scoringpeptide[3],4]*Lck[Scoringpeptide[4],5]*Lck[Scoringpeptide[5],6]*Lck[Scoringpeptide[6],7]* + Lck[Scoringpeptide[7],8]*Lck[Scoringpeptide[9],10]*Lck[Scoringpeptide[10],11]*Lck[Scoringpeptide[11],12]*Lck[Scoringpeptide[12],13]* + Lck[Scoringpeptide[13],14]*Lck[Scoringpeptide[14],15]*Lck[Scoringpeptide[15],16] + LckGeneratedScores[x]<-LckScore + + LynScore<-Lyn[Scoringpeptide[1],2]*Lyn[Scoringpeptide[2],3]*Lyn[Scoringpeptide[3],4]*Lyn[Scoringpeptide[4],5]*Lyn[Scoringpeptide[5],6]*Lyn[Scoringpeptide[6],7]* + Lyn[Scoringpeptide[7],8]*Lyn[Scoringpeptide[9],10]*Lyn[Scoringpeptide[10],11]*Lyn[Scoringpeptide[11],12]*Lyn[Scoringpeptide[12],13]* + Lyn[Scoringpeptide[13],14]*Lyn[Scoringpeptide[14],15]*Lyn[Scoringpeptide[15],16] + LynGeneratedScores[x]<-LynScore + + Pyk2Score<-Pyk2[Scoringpeptide[1],2]*Pyk2[Scoringpeptide[2],3]*Pyk2[Scoringpeptide[3],4]*Pyk2[Scoringpeptide[4],5]*Pyk2[Scoringpeptide[5],6]*Pyk2[Scoringpeptide[6],7]* + Pyk2[Scoringpeptide[7],8]*Pyk2[Scoringpeptide[9],10]*Pyk2[Scoringpeptide[10],11]*Pyk2[Scoringpeptide[11],12]*Pyk2[Scoringpeptide[12],13]* + Pyk2[Scoringpeptide[13],14]*Pyk2[Scoringpeptide[14],15]*Pyk2[Scoringpeptide[15],16] + Pyk2GeneratedScores[x]<-Pyk2Score + + SrcScore<-Src[Scoringpeptide[1],2]*Src[Scoringpeptide[2],3]*Src[Scoringpeptide[3],4]*Src[Scoringpeptide[4],5]*Src[Scoringpeptide[5],6]*Src[Scoringpeptide[6],7]* + Src[Scoringpeptide[7],8]*Src[Scoringpeptide[9],10]*Src[Scoringpeptide[10],11]*Src[Scoringpeptide[11],12]*Src[Scoringpeptide[12],13]* + Src[Scoringpeptide[13],14]*Src[Scoringpeptide[14],15]*Src[Scoringpeptide[15],16] + SrcGeneratedScores[x]<-SrcScore + + SykScore<-Syk[Scoringpeptide[1],2]*Syk[Scoringpeptide[2],3]*Syk[Scoringpeptide[3],4]*Syk[Scoringpeptide[4],5]*Syk[Scoringpeptide[5],6]*Syk[Scoringpeptide[6],7]* + Syk[Scoringpeptide[7],8]*Syk[Scoringpeptide[9],10]*Syk[Scoringpeptide[10],11]*Syk[Scoringpeptide[11],12]*Syk[Scoringpeptide[12],13]* + Syk[Scoringpeptide[13],14]*Syk[Scoringpeptide[14],15]*Syk[Scoringpeptide[15],16] + SykGeneratedScores[x]<-SykScore + + YesScore<-Yes[Scoringpeptide[1],2]*Yes[Scoringpeptide[2],3]*Yes[Scoringpeptide[3],4]*Yes[Scoringpeptide[4],5]*Yes[Scoringpeptide[5],6]*Yes[Scoringpeptide[6],7]* + Yes[Scoringpeptide[7],8]*Yes[Scoringpeptide[9],10]*Yes[Scoringpeptide[10],11]*Yes[Scoringpeptide[11],12]*Yes[Scoringpeptide[12],13]* + Yes[Scoringpeptide[13],14]*Yes[Scoringpeptide[14],15]*Yes[Scoringpeptide[15],16] + YesGeneratedScores[x]<-YesScore + + # ThisKinTableScore<-ThisKinTable[as.numeric(Scoringpeptide[1]),3]*ThisKinTable[as.numeric(Scoringpeptide[2]),4]*ThisKinTable[as.numeric(Scoringpeptide[3]),5]* + # ThisKinTable[as.numeric(Scoringpeptide[4]),6]*ThisKinTable[as.numeric(Scoringpeptide[6]),8]* + # ThisKinTable[as.numeric(Scoringpeptide[7]),9]*ThisKinTable[as.numeric(Scoringpeptide[8]),10]*ThisKinTable[as.numeric(Scoringpeptide[9]),11] + # ThisKinGeneratedScores[x]<-ThisKinTableScore +} + + + +AblNorm<-1/as.numeric(Abl[22,1]) +AblThresh<-as.numeric(Abl[24,1]) +AblTrueThresh<-((AblThresh*AblNorm)/(100-AblThresh)) +AblActive<-unlist(AblGeneratedScores)>AblTrueThresh + +ArgNorm<-1/as.numeric(Arg[22,1]) +ArgThresh<-as.numeric(Arg[24,1]) +ArgTrueThresh<-((ArgThresh*ArgNorm)/(100-ArgThresh)) +ArgActive<-unlist(ArgGeneratedScores)>ArgTrueThresh + +BtkNorm<-1/as.numeric(Btk[22,1]) +BtkThresh<-as.numeric(Btk[24,1]) +BtkTrueThresh<-((BtkThresh*BtkNorm)/(100-BtkThresh)) +BtkActive<-unlist(BtkGeneratedScores)>BtkTrueThresh + +CskNorm<-1/as.numeric(Csk[22,1]) +CskThresh<-as.numeric(Csk[24,1]) +CskTrueThresh<-((CskThresh*CskNorm)/(100-CskThresh)) +CskActive<-(CskGeneratedScores)>CskTrueThresh + +FynNorm<-1/as.numeric(Fyn[22,1]) +FynThresh<-as.numeric(Fyn[24,1]) +FynTrueThresh<-((FynThresh*FynNorm)/(100-FynThresh)) +FynActive<-unlist(FynGeneratedScores)>FynTrueThresh + +HckNorm<-1/as.numeric(Hck[22,1]) +HckThresh<-as.numeric(Hck[24,1]) +HckTrueThresh<-((HckThresh*HckNorm)/(100-HckThresh)) +HckActive<-unlist(HckGeneratedScores)>HckTrueThresh + +JAK2Norm<-1/as.numeric(JAK2[22,1]) +JAK2Thresh<-as.numeric(JAK2[24,1]) +JAK2TrueThresh<-((JAK2Thresh*JAK2Norm)/(100-JAK2Thresh)) +JAk2Active<-unlist(JAK2GeneratedScores)>JAK2TrueThresh + +LckNorm<-1/as.numeric(Lck[22,1]) +LckThresh<-as.numeric(Lck[24,1]) +LckTrueThresh<-((LckThresh*LckNorm)/(100-LckThresh)) +LckActive<-unlist(LckGeneratedScores)>LckTrueThresh + +LynNorm<-1/as.numeric(Lyn[22,1]) +LynThresh<-as.numeric(Lyn[24,1]) +LynTrueThresh<-((LynThresh*LynNorm)/(100-LynThresh)) +LynActive<-unlist(LynGeneratedScores)>LynTrueThresh + +Pyk2Norm<-1/as.numeric(Pyk2[22,1]) +Pyk2Thresh<-as.numeric(Pyk2[24,1]) +Pyk2TrueThresh<-((Pyk2Thresh*Pyk2Norm)/(100-Pyk2Thresh)) +Pyk2Active<-unlist(Pyk2GeneratedScores)>Pyk2TrueThresh + +SrcNorm<-1/as.numeric(Src[22,1]) +SrcThresh<-as.numeric(Src[24,1]) +SrcTrueThresh<-((SrcThresh*SrcNorm)/(100-SrcThresh)) +SrcActive<-unlist(SrcGeneratedScores)>SrcTrueThresh + +SykNorm<-1/as.numeric(Syk[22,1]) +SykThresh<-as.numeric(Syk[24,1]) +SykTrueThresh<-((SykThresh*SykNorm)/(100-SykThresh)) +SykActive<-unlist(SykGeneratedScores)>SykTrueThresh + +YesNorm<-1/as.numeric(Yes[22,1]) +YesThresh<-as.numeric(Yes[24,1]) +YesTrueThresh<-((YesThresh*YesNorm)/(100-YesThresh)) +YesActive<-unlist(YesGeneratedScores)>YesTrueThresh + +AllActive<-AblActive+ArgActive+BtkActive+CskActive+FynActive+HckActive+JAk2Active+LckActive+LynActive+Pyk2Active+SrcActive+SykActive+YesActive +#Btkactive+ + +Scores<-ThisKinGeneratedScores +ThresholdValues<-ThisKinGenWeirdScore + +FullMotifs<-rep("Z",times=nrow(GeneratedPeptides)) +for (i in 1:nrow(GeneratedPeptides)) { + motif<-GeneratedPeptides[i,1:15] + motif<-paste(motif,sep = "", collapse = "") + FullMotifs[i]<-motif +} + +PeptidesWithRanks<-cbind.data.frame(FullMotifs,GeneratedPeptides,Scores,ThresholdValues) +PeptidesWithRanks<-cbind.data.frame(PeptidesWithRanks,AllActive,AblActive,ArgActive,BtkActive,CskActive,FynActive,HckActive,JAk2Active,LckActive,LynActive,Pyk2Active,SrcActive,SykActive,YesActive) +RanksPeptides<-PeptidesWithRanks[order(PeptidesWithRanks$AllActive,decreasing = FALSE),] +# PepRankHead<-c(1:9,"Sequence","RPMS","PMS") +# RanksPeptides<-rbind.data.frame(PepRankHead,PeptidesWithRanks) +#head(RanksPeptides) + + +#now I have to score the negative sequences... for some reason +#write up how we transfect with lipofectamine +#3,4,5 questions + +#PAUSED EHRE AT 4:50, HOPING THAT FIXING MINERVOTHING SO THAT LEFT SPACES WORKS FIXES A THING. OTHERWISE +#I FUCKED WITH THE MCC TABLE AND NEED TO FINISH IT + +ThisKinBlanks<-rep(1,times=17) +#indx <- sapply(breast, is.factor) +#ThisKinTable[indx] <- lapply(ThisKinTable[indx], function(x) as.character(x)) +ThisKinTable$SetOfAAs<-as.character(ThisKinTable$SetOfAAs) + +#ThisKinTest<-rbind.data.frame(ThisKinTable,ThisKinBlanks) +ThisKinTable<-rbind.data.frame(ThisKinTable,ThisKinBlanks) + +NegativeScores<-rep(NA,times=nrow(NegativeSubstrateList)) +NegativeWeirdScores<-rep(NA,times=nrow(NegativeSubstrateList)) +for (v in 1:nrow(NegativeSubstrateList)) { + motif<-NegativeSubstrateList[v,2] + motif<-unlist(strsplit(motif,"")) + #if (length(motif)<9){print(v)}} + # motif[1] <- sapply(motif[1], function (x) aa_props[x]) + # motif[2] <- sapply(motif[2], function (x) aa_props[x]) + # motif[3] <- sapply(motif[3], function (x) aa_props[x]) + # motif[4] <- sapply(motif[4], function (x) aa_props[x]) + # motif[5] <- sapply(motif[5], function (x) aa_props[x]) + # motif[6] <- sapply(motif[6], function (x) aa_props[x]) + # motif[7] <- sapply(motif[7], function (x) aa_props[x]) + # motif[8] <- sapply(motif[8], function (x) aa_props[x]) + # motif[9] <- sapply(motif[9], function (x) aa_props[x]) + motif<- gsub(" ","O",motif) + motif <- sapply(motif, function (x) aa_props[x]) + Scoringpeptide<-motif + Scoringpeptide<-Scoringpeptide+1 + ThisKinTableScore<-as.numeric(ThisKinTable[Scoringpeptide[1],3])*ThisKinTable[as.numeric(Scoringpeptide[2]),4]*ThisKinTable[as.numeric(Scoringpeptide[3]),5]* + ThisKinTable[as.numeric(Scoringpeptide[4]),6]*ThisKinTable[as.numeric(Scoringpeptide[5]),7]*ThisKinTable[as.numeric(Scoringpeptide[6]),8]*ThisKinTable[as.numeric(Scoringpeptide[7]),9]* + #ThisKinTable[as.numeric(Scoringpeptide[8]),10]* + ThisKinTable[as.numeric(Scoringpeptide[9]),11]*ThisKinTable[as.numeric(Scoringpeptide[10]),12]*ThisKinTable[as.numeric(Scoringpeptide[11]),13]* + ThisKinTable[as.numeric(Scoringpeptide[12]),14]*ThisKinTable[as.numeric(Scoringpeptide[13]),15]*ThisKinTable[as.numeric(Scoringpeptide[14]),16]*ThisKinTable[as.numeric(Scoringpeptide[15]),17] + NegativeScores[v]<-ThisKinTableScore + ThisKinTableScore<-(ThisKinTableScore/(ThisKinTableScore+1/as.numeric(NormalizationScore[2]))) + NegativeWeirdScores[v]<-ThisKinTableScore*100 +} + +negativesubstrates<-NegativeSubstrateList[,2] +NegativeWithScores<-cbind(negativesubstrates,as.character(NegativeScores),as.character(NegativeWeirdScores)) + + +#NEED TO HAVE THE NEGATIVE SUBSTRATES BE OUTPUTTED + +PositiveScores<-rep(NA,times=nrow(ImportedSubstrateList)) +PositiveWeirdScores<-rep(NA,times=nrow(ImportedSubstrateList)) + +for (v in 1:nrow(ImportedSubstrateList)) { + motif<-ImportedSubstrateList[v,4:18] + motif<-unlist(motif) + motif<- gsub("^$","O",motif) + motif <- sapply(motif, function (x) aa_props[x]) + Scoringpeptide<-motif + Scoringpeptide<-Scoringpeptide+1 + ThisKinTableScore<-as.numeric(ThisKinTable[Scoringpeptide[1],3])*ThisKinTable[as.numeric(Scoringpeptide[2]),4]*ThisKinTable[as.numeric(Scoringpeptide[3]),5]* + ThisKinTable[as.numeric(Scoringpeptide[4]),6]*ThisKinTable[as.numeric(Scoringpeptide[5]),7]*ThisKinTable[as.numeric(Scoringpeptide[6]),8]*ThisKinTable[as.numeric(Scoringpeptide[7]),9]* + #ThisKinTable[as.numeric(Scoringpeptide[8]),10]* + ThisKinTable[as.numeric(Scoringpeptide[9]),11]*ThisKinTable[as.numeric(Scoringpeptide[10]),12]*ThisKinTable[as.numeric(Scoringpeptide[11]),13]* + ThisKinTable[as.numeric(Scoringpeptide[12]),14]*ThisKinTable[as.numeric(Scoringpeptide[13]),15]*ThisKinTable[as.numeric(Scoringpeptide[14]),16]*ThisKinTable[as.numeric(Scoringpeptide[15]),17] + + PositiveScores[v]<-ThisKinTableScore + ThisKinTableScore<-(ThisKinTableScore/(ThisKinTableScore+1/as.numeric(NormalizationScore[2]))) + PositiveWeirdScores[v]<-ThisKinTableScore*100 +} + +positivesubstrates<-ImportedSubstrateList[,4:18] +positivewithscores<-cbind.data.frame(positivesubstrates,PositiveScores,PositiveWeirdScores) + + +#write down the transient transfection SOP and what we will be doing with them +#write down the vector names I will be using +#write down something about transforming bacteria and with what + +#90% whatevernness +# TPninetyone<-length(PositiveWeirdScores[PositiveWeirdScores>=0.91]) +# Senseninetyone<-TPninetyone/nrow(positivesubstrates) +# +# TNninetyone<-length(NegativeWeirdScores[NegativeWeirdScores<91]) +# Specninetyone<-TNninetyone/100 + +#create the MCC table + +threshold<-c(1:100) +threshold<-order(threshold,decreasing = TRUE) + +Truepositives<-c(1:100) +Falsenegatives<-c(1:100) +Sensitivity<-c(1:100) +TrueNegatives<-c(1:100) +FalsePositives<-c(1:100) +Specificity<-c(1:100) +Accuracy<-c(1:100) +MCC<-c(1:100) +EER<-c(1:100) + +#MAKE DAMN SURE THAT THE ACCESSION NUMBERS FOLLOW THE MOTIFS + +for (z in 1:100) { + thres<-101-z + Truepositives[z]<-length(PositiveWeirdScores[PositiveWeirdScores>=(thres)]) + Falsenegatives[z]<-nrow(positivesubstrates)-Truepositives[z] + Sensitivity[z]<-Truepositives[z]/(Falsenegatives[z]+Truepositives[z]) + TrueNegatives[z]<-length(NegativeWeirdScores[NegativeWeirdScores<(thres)]) + # at thresh 100 this should be 0, because it is total minus true negatives + FalsePositives[z]<-nrow(NegativeSubstrateList)-TrueNegatives[z] + Specificity[z]<-1-(TrueNegatives[z]/(FalsePositives[z]+TrueNegatives[z])) + Accuracy[z]<-100*(Truepositives[z]+TrueNegatives[z])/(Falsenegatives[z]+FalsePositives[z]+TrueNegatives[z]+Truepositives[z]) + MCC[z]<-((Truepositives[z]+TrueNegatives[z])-(Falsenegatives[z]+FalsePositives[z]))/sqrt(round(round(Truepositives[z]+Falsenegatives[z])*round(TrueNegatives[z]+FalsePositives[z])*round(Truepositives[z]+FalsePositives[z])*round(TrueNegatives[z]+Falsenegatives[z]))) + EER[z]<-.01*(((1-(Sensitivity[z]))*(Truepositives[z]+Falsenegatives[z]))+(Specificity[z]*(1-(Truepositives[z]+Falsenegatives[z])))) +} +Characterization<-cbind.data.frame(threshold,Truepositives,Falsenegatives,Sensitivity,TrueNegatives,FalsePositives,Specificity,Accuracy,MCC,EER) + +positiveheader<-c(1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,"RPMS","PMS") +positivewithscores<-rbind.data.frame(positiveheader,positivewithscores) + +negativeheader<-c("Substrate","RPMS","PMS") +colnames(NegativeWithScores)<-negativeheader + +# write.xlsx(NegativeWithScores,file = FILENAME, sheetName = "Negative Sequences Scored",col.names = TRUE,row.names = FALSE,append = TRUE) +# write.xlsx(Characterization,file = FILENAME,sheetName = "Characterization Table",col.names = TRUE,row.names = FALSE,append = TRUE) +# write.xlsx(RanksPeptides,file = FILENAME,sheetName = "Ranked Generated Peptides",col.names = FALSE,row.names = FALSE,append = TRUE) +# write.xlsx(positivewithscores,file = FILENAME, sheetName = "Positive Sequences Scored",col.names = FALSE,row.names = FALSE,append = TRUE) +write.table(x=c("Characterzation Table"),file = FILENAME2, col.names = FALSE,row.names = FALSE, append = TRUE,sep = ",") +header<-colnames(Characterization) +Characterization<-rbind.data.frame(header,Characterization) +write.table(Characterization,file = FILENAME2, col.names = FALSE,row.names = FALSE, append = TRUE,sep = ",") + +# header<-colnames(RanksPeptides) +# RanksPeptides<-rbind.data.frame(header,RanksPeptides) +write.table(RanksPeptides,file = FILENAME3,append = FALSE,row.names = FALSE,col.names = TRUE,sep = ",")
--- a/kinatestid_r/Kinatest-R_part1.R Thu Feb 08 15:10:42 2018 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,1114 +0,0 @@ - -ImportedSubstrateList<- read.csv("input1", stringsAsFactors=FALSE) -NegativeSubstrateList<- read.csv("input2", stringsAsFactors=FALSE) -SubstrateBackgroundFrequency<- read.csv("input3", stringsAsFactors=FALSE) - -ScreenerFilename<-"screener" - - - -FILENAME<-"output1" -FILENAME2<-"output2" -FILENAME3<-"output3" - - - - - - - - - - - - - - - - - - - - - - - - -OutputMatrix<-"KinaseMatrix.csv" -CharacterizationTable<-"CharacterizationTableForThisKinase.csv" -SDtable<-"SDtableforthisKinase" -SiteSelectivityTable<-"SiteSelectivityForThisKinase" - - - -substrates<-matrix(rep("A",times=((nrow(ImportedSubstrateList)-1)*15)),ncol = 15) -#SeqsToBeScored<-"asdasd" - -for (i in 2:nrow(ImportedSubstrateList)) -{ - substratemotif<-ImportedSubstrateList[i,4:18] - substratemotif[8]<-"Y" - #substratemotif<-paste(substratemotif,sep = "",collapse = "") - j=i-1 - substratemotif<-unlist(substratemotif) - substrates[j,1:15]<-substratemotif -} - -# SpacesToOs<-c(""="O",) -# substrates<-SpacesToOs[substrates] - -SubstrateBackgroundFrequency[nrow(SubstrateBackgroundFrequency),2] - -if(2==2){ -Amean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),2]), na.rm=TRUE) -Cmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),3]), na.rm=TRUE) -Dmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),4]), na.rm=TRUE) -Emean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),5]), na.rm=TRUE) -Fmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),6]), na.rm=TRUE) -Gmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),7]), na.rm=TRUE) -Hmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),8]), na.rm=TRUE) -Imean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),9]), na.rm=TRUE) -Kmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),10]), na.rm=TRUE) -Lmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),11]), na.rm=TRUE) -Mmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),12]), na.rm=TRUE) -Nmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),13]), na.rm=TRUE) -Pmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),14]), na.rm=TRUE) -Qmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),15]), na.rm=TRUE) -Rmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),16]), na.rm=TRUE) -Smean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),17]), na.rm=TRUE) -Tmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),18]), na.rm=TRUE) -Vmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),19]), na.rm=TRUE) -Wmean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),20]), na.rm=TRUE) -Ymean<-mean(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),21]), na.rm=TRUE) - -AllMeans<-c(Amean,Cmean,Dmean,Emean,Fmean,Gmean,Hmean,Imean,Kmean,Lmean,Mmean,Nmean,Pmean,Qmean,Rmean,Smean,Tmean,Vmean,Wmean,Ymean) - -Asd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),2]), na.rm=TRUE) -Csd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),3]), na.rm=TRUE) -Dsd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),4]), na.rm=TRUE) -Esd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),5]), na.rm=TRUE) -Fsd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),6]), na.rm=TRUE) -Gsd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),7]), na.rm=TRUE) -Hsd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),8]), na.rm=TRUE) -Isd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),9]), na.rm=TRUE) -Ksd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),10]), na.rm=TRUE) -Lsd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),11]), na.rm=TRUE) -Msd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),12]), na.rm=TRUE) -Nsd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),13]), na.rm=TRUE) -Psd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),14]), na.rm=TRUE) -Qsd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),15]), na.rm=TRUE) -Rsd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),16]), na.rm=TRUE) -Ssd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),17]), na.rm=TRUE) -Tsd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),18]), na.rm=TRUE) -Vsd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),19]), na.rm=TRUE) -Wsd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),20]), na.rm=TRUE) -Ysd<-sd(as.numeric(SubstrateBackgroundFrequency[1:(nrow(SubstrateBackgroundFrequency)),21]), na.rm=TRUE) -} -AllSDs<-c(Asd,Csd,Dsd,Esd,Fsd,Gsd,Hsd,Isd,Ksd,Lsd,Msd,Nsd,Psd,Qsd,Rsd,Ssd,Tsd,Vsd,Wsd,Ysd) -#this is subbackfreq SDs - -SBF_statisticalvalues<-cbind(AllMeans,AllSDs) - -#create the percent table -if (1==1){ - Column1<-substrates[,1] - Column2<-substrates[,2] - Column3<-substrates[,3] - Column4<-substrates[,4] - Column5<-substrates[,5] - Column6<-substrates[,6] - Column7<-substrates[,7] - Column8<-substrates[,8] - Column9<-substrates[,9] - Column10<-substrates[,10] - Column11<-substrates[,11] - Column12<-substrates[,12] - Column13<-substrates[,13] - Column14<-substrates[,14] - Column15<-substrates[,15] - - spaces1<-sum((Column1%in% "")) - spaces2<-sum(Column2%in% "") - spaces3<-sum(Column3%in% "") - spaces4<-sum(Column4%in% "") - spaces5<-sum(Column5%in% "") - spaces6<-sum(Column6%in% "") - spaces7<-sum(Column7%in% "") - spaces8<-sum(Column8%in% "") - spaces9<-sum(Column9%in% "") - spaces10<-sum(Column10%in% "") - spaces11<-sum(Column11%in% "") - spaces12<-sum(Column12%in% "") - spaces13<-sum(Column13%in% "") - spaces14<-sum(Column14%in% "") - spaces15<-sum(Column15%in% "") - - A1<-sum(Column1 %in% "A")/(length(Column1)-spaces1) - A2<-sum(Column2 %in% "A")/(length(Column2)-spaces2) - A3<-sum(Column3 %in% "A")/(length(Column3)-spaces3) - A4<-sum(Column4 %in% "A")/(length(Column4)-spaces4) - A5<-sum(Column5 %in% "A")/(length(Column5)-spaces5) - A6<-sum(Column6 %in% "A")/(length(Column6)-spaces6) - A7<-sum(Column7 %in% "A")/(length(Column7)-spaces7) - A8<-sum(Column8 %in% "A")/(length(Column8)-spaces8) - A9<-sum(Column9 %in% "A")/(length(Column9)-spaces9) - A10<-sum(Column10 %in% "A")/(length(Column10)-spaces10) - A11<-sum(Column11 %in% "A")/(length(Column11)-spaces11) - A12<-sum(Column12 %in% "A")/(length(Column12)-spaces12) - A13<-sum(Column13 %in% "A")/(length(Column13)-spaces13) - A14<-sum(Column14 %in% "A")/(length(Column14)-spaces14) - A15<-sum(Column15 %in% "A")/(length(Column15)-spaces15) - AllAs<-cbind(A1,A2,A3,A4,A5,A6,A7,A8,A9,A10,A11,A12,A13,A14,A15) - - C1<-sum(Column1 %in% "C")/(length(Column1)-spaces1) - C2<-sum(Column2 %in% "C")/(length(Column2)-spaces2) - C3<-sum(Column3 %in% "C")/(length(Column3)-spaces3) - C4<-sum(Column4 %in% "C")/(length(Column4)-spaces4) - C5<-sum(Column5 %in% "C")/(length(Column5)-spaces5) - C6<-sum(Column6 %in% "C")/(length(Column6)-spaces6) - C7<-sum(Column7 %in% "C")/(length(Column7)-spaces7) - C8<-sum(Column8 %in% "C")/(length(Column8)-spaces8) - C9<-sum(Column9 %in% "C")/(length(Column9)-spaces9) - C10<-sum(Column10 %in% "C")/(length(Column10)-spaces10) - C11<-sum(Column11 %in% "C")/(length(Column11)-spaces11) - C12<-sum(Column12 %in% "C")/(length(Column12)-spaces12) - C13<-sum(Column13 %in% "C")/(length(Column13)-spaces13) - C14<-sum(Column14 %in% "C")/(length(Column14)-spaces14) - C15<-sum(Column15 %in% "C")/(length(Column15)-spaces15) - CllCs<-cbind(C1,C2,C3,C4,C5,C6,C7,C8,C9,C10,C11,C12,C13,C14,C15) - - D1<-sum(Column1 %in% "D")/(length(Column1)-spaces1) - D2<-sum(Column2 %in% "D")/(length(Column2)-spaces2) - D3<-sum(Column3 %in% "D")/(length(Column3)-spaces3) - D4<-sum(Column4 %in% "D")/(length(Column4)-spaces4) - D5<-sum(Column5 %in% "D")/(length(Column5)-spaces5) - D6<-sum(Column6 %in% "D")/(length(Column6)-spaces6) - D7<-sum(Column7 %in% "D")/(length(Column7)-spaces7) - D8<-sum(Column8 %in% "D")/(length(Column8)-spaces8) - D9<-sum(Column9 %in% "D")/(length(Column9)-spaces9) - D10<-sum(Column10 %in% "D")/(length(Column10)-spaces10) - D11<-sum(Column11 %in% "D")/(length(Column11)-spaces11) - D12<-sum(Column12 %in% "D")/(length(Column12)-spaces12) - D13<-sum(Column13 %in% "D")/(length(Column13)-spaces13) - D14<-sum(Column14 %in% "D")/(length(Column14)-spaces14) - D15<-sum(Column15 %in% "D")/(length(Column15)-spaces15) - DllDs<-cbind(D1,D2,D3,D4,D5,D6,D7,D8,D9,D10,D11,D12,D13,D14,D15) - - E1<-sum(Column1 %in% "E")/(length(Column1)-spaces1) - E2<-sum(Column2 %in% "E")/(length(Column2)-spaces2) - E3<-sum(Column3 %in% "E")/(length(Column3)-spaces3) - E4<-sum(Column4 %in% "E")/(length(Column4)-spaces4) - E5<-sum(Column5 %in% "E")/(length(Column5)-spaces5) - E6<-sum(Column6 %in% "E")/(length(Column6)-spaces6) - E7<-sum(Column7 %in% "E")/(length(Column7)-spaces7) - E8<-sum(Column8 %in% "E")/(length(Column8)-spaces8) - E9<-sum(Column9 %in% "E")/(length(Column9)-spaces9) - E10<-sum(Column10 %in% "E")/(length(Column10)-spaces10) - E11<-sum(Column11 %in% "E")/(length(Column11)-spaces11) - E12<-sum(Column12 %in% "E")/(length(Column12)-spaces12) - E13<-sum(Column13 %in% "E")/(length(Column13)-spaces13) - E14<-sum(Column14 %in% "E")/(length(Column14)-spaces14) - E15<-sum(Column15 %in% "E")/(length(Column15)-spaces15) - EllEs<-cbind(E1,E2,E3,E4,E5,E6,E7,E8,E9,E10,E11,E12,E13,E14,E15) - - - F1<-sum(Column1 %in% "F")/(length(Column1)-spaces1) - F2<-sum(Column2 %in% "F")/(length(Column2)-spaces2) - F3<-sum(Column3 %in% "F")/(length(Column3)-spaces3) - F4<-sum(Column4 %in% "F")/(length(Column4)-spaces4) - F5<-sum(Column5 %in% "F")/(length(Column5)-spaces5) - F6<-sum(Column6 %in% "F")/(length(Column6)-spaces6) - F7<-sum(Column7 %in% "F")/(length(Column7)-spaces7) - F8<-sum(Column8 %in% "F")/(length(Column8)-spaces8) - F9<-sum(Column9 %in% "F")/(length(Column9)-spaces9) - F10<-sum(Column10 %in% "F")/(length(Column10)-spaces10) - F11<-sum(Column11 %in% "F")/(length(Column11)-spaces11) - F12<-sum(Column12 %in% "F")/(length(Column12)-spaces12) - F13<-sum(Column13 %in% "F")/(length(Column13)-spaces13) - F14<-sum(Column14 %in% "F")/(length(Column14)-spaces14) - F15<-sum(Column15 %in% "F")/(length(Column15)-spaces15) - FllFs<-cbind(F1,F2,F3,F4,F5,F6,F7,F8,F9,F10,F11,F12,F13,F14,F15) - - - G1<-sum(Column1 %in% "G")/(length(Column1)-spaces1) - G2<-sum(Column2 %in% "G")/(length(Column2)-spaces2) - G3<-sum(Column3 %in% "G")/(length(Column3)-spaces3) - G4<-sum(Column4 %in% "G")/(length(Column4)-spaces4) - G5<-sum(Column5 %in% "G")/(length(Column5)-spaces5) - G6<-sum(Column6 %in% "G")/(length(Column6)-spaces6) - G7<-sum(Column7 %in% "G")/(length(Column7)-spaces7) - G8<-sum(Column8 %in% "G")/(length(Column8)-spaces8) - G9<-sum(Column9 %in% "G")/(length(Column9)-spaces9) - G10<-sum(Column10 %in% "G")/(length(Column10)-spaces10) - G11<-sum(Column11 %in% "G")/(length(Column11)-spaces11) - G12<-sum(Column12 %in% "G")/(length(Column12)-spaces12) - G13<-sum(Column13 %in% "G")/(length(Column13)-spaces13) - G14<-sum(Column14 %in% "G")/(length(Column14)-spaces14) - G15<-sum(Column15 %in% "G")/(length(Column15)-spaces15) - GllGs<-cbind(G1,G2,G3,G4,G5,G6,G7,G8,G9,G10,G11,G12,G13,G14,G15) - - - H1<-sum(Column1 %in% "H")/(length(Column1)-spaces1) - H2<-sum(Column2 %in% "H")/(length(Column2)-spaces2) - H3<-sum(Column3 %in% "H")/(length(Column3)-spaces3) - H4<-sum(Column4 %in% "H")/(length(Column4)-spaces4) - H5<-sum(Column5 %in% "H")/(length(Column5)-spaces5) - H6<-sum(Column6 %in% "H")/(length(Column6)-spaces6) - H7<-sum(Column7 %in% "H")/(length(Column7)-spaces7) - H8<-sum(Column8 %in% "H")/(length(Column8)-spaces8) - H9<-sum(Column9 %in% "H")/(length(Column9)-spaces9) - H10<-sum(Column10 %in% "H")/(length(Column10)-spaces10) - H11<-sum(Column11 %in% "H")/(length(Column11)-spaces11) - H12<-sum(Column12 %in% "H")/(length(Column12)-spaces12) - H13<-sum(Column13 %in% "H")/(length(Column13)-spaces13) - H14<-sum(Column14 %in% "H")/(length(Column14)-spaces14) - H15<-sum(Column15 %in% "H")/(length(Column15)-spaces15) - HllHs<-cbind(H1,H2,H3,H4,H5,H6,H7,H8,H9,H10,H11,H12,H13,H14,H15) - - - I1<-sum(Column1 %in% "I")/(length(Column1)-spaces1) - I2<-sum(Column2 %in% "I")/(length(Column2)-spaces2) - I3<-sum(Column3 %in% "I")/(length(Column3)-spaces3) - I4<-sum(Column4 %in% "I")/(length(Column4)-spaces4) - I5<-sum(Column5 %in% "I")/(length(Column5)-spaces5) - I6<-sum(Column6 %in% "I")/(length(Column6)-spaces6) - I7<-sum(Column7 %in% "I")/(length(Column7)-spaces7) - I8<-sum(Column8 %in% "I")/(length(Column8)-spaces8) - I9<-sum(Column9 %in% "I")/(length(Column9)-spaces9) - I10<-sum(Column10 %in% "I")/(length(Column10)-spaces10) - I11<-sum(Column11 %in% "I")/(length(Column11)-spaces11) - I12<-sum(Column12 %in% "I")/(length(Column12)-spaces12) - I13<-sum(Column13 %in% "I")/(length(Column13)-spaces13) - I14<-sum(Column14 %in% "I")/(length(Column14)-spaces14) - I15<-sum(Column15 %in% "I")/(length(Column15)-spaces15) - IllIs<-cbind(I1,I2,I3,I4,I5,I6,I7,I8,I9,I10,I11,I12,I13,I14,I15) - - - K1<-sum(Column1 %in% "K")/(length(Column1)-spaces1) - K2<-sum(Column2 %in% "K")/(length(Column2)-spaces2) - K3<-sum(Column3 %in% "K")/(length(Column3)-spaces3) - K4<-sum(Column4 %in% "K")/(length(Column4)-spaces4) - K5<-sum(Column5 %in% "K")/(length(Column5)-spaces5) - K6<-sum(Column6 %in% "K")/(length(Column6)-spaces6) - K7<-sum(Column7 %in% "K")/(length(Column7)-spaces7) - K8<-sum(Column8 %in% "K")/(length(Column8)-spaces8) - K9<-sum(Column9 %in% "K")/(length(Column9)-spaces9) - K10<-sum(Column10 %in% "K")/(length(Column10)-spaces10) - K11<-sum(Column11 %in% "K")/(length(Column11)-spaces11) - K12<-sum(Column12 %in% "K")/(length(Column12)-spaces12) - K13<-sum(Column13 %in% "K")/(length(Column13)-spaces13) - K14<-sum(Column14 %in% "K")/(length(Column14)-spaces14) - K15<-sum(Column15 %in% "K")/(length(Column15)-spaces15) - KllKs<-cbind(K1,K2,K3,K4,K5,K6,K7,K8,K9,K10,K11,K12,K13,K14,K15) - - - L1<-sum(Column1 %in% "L")/(length(Column1)-spaces1) - L2<-sum(Column2 %in% "L")/(length(Column2)-spaces2) - L3<-sum(Column3 %in% "L")/(length(Column3)-spaces3) - L4<-sum(Column4 %in% "L")/(length(Column4)-spaces4) - L5<-sum(Column5 %in% "L")/(length(Column5)-spaces5) - L6<-sum(Column6 %in% "L")/(length(Column6)-spaces6) - L7<-sum(Column7 %in% "L")/(length(Column7)-spaces7) - L8<-sum(Column8 %in% "L")/(length(Column8)-spaces8) - L9<-sum(Column9 %in% "L")/(length(Column9)-spaces9) - L10<-sum(Column10 %in% "L")/(length(Column10)-spaces10) - L11<-sum(Column11 %in% "L")/(length(Column11)-spaces11) - L12<-sum(Column12 %in% "L")/(length(Column12)-spaces12) - L13<-sum(Column13 %in% "L")/(length(Column13)-spaces13) - L14<-sum(Column14 %in% "L")/(length(Column14)-spaces14) - L15<-sum(Column15 %in% "L")/(length(Column15)-spaces15) - LllLs<-cbind(L1,L2,L3,L4,L5,L6,L7,L8,L9,L10,L11,L12,L13,L14,L15) - - - M1<-sum(Column1 %in% "M")/(length(Column1)-spaces1) - M2<-sum(Column2 %in% "M")/(length(Column2)-spaces2) - M3<-sum(Column3 %in% "M")/(length(Column3)-spaces3) - M4<-sum(Column4 %in% "M")/(length(Column4)-spaces4) - M5<-sum(Column5 %in% "M")/(length(Column5)-spaces5) - M6<-sum(Column6 %in% "M")/(length(Column6)-spaces6) - M7<-sum(Column7 %in% "M")/(length(Column7)-spaces7) - M8<-sum(Column8 %in% "M")/(length(Column8)-spaces8) - M9<-sum(Column9 %in% "M")/(length(Column9)-spaces9) - M10<-sum(Column10 %in% "M")/(length(Column10)-spaces10) - M11<-sum(Column11 %in% "M")/(length(Column11)-spaces11) - M12<-sum(Column12 %in% "M")/(length(Column12)-spaces12) - M13<-sum(Column13 %in% "M")/(length(Column13)-spaces13) - M14<-sum(Column14 %in% "M")/(length(Column14)-spaces14) - M15<-sum(Column15 %in% "M")/(length(Column15)-spaces15) - MllMs<-cbind(M1,M2,M3,M4,M5,M6,M7,M8,M9,M10,M11,M12,M13,M14,M15) - - - N1<-sum(Column1 %in% "N")/(length(Column1)-spaces1) - N2<-sum(Column2 %in% "N")/(length(Column2)-spaces2) - N3<-sum(Column3 %in% "N")/(length(Column3)-spaces3) - N4<-sum(Column4 %in% "N")/(length(Column4)-spaces4) - N5<-sum(Column5 %in% "N")/(length(Column5)-spaces5) - N6<-sum(Column6 %in% "N")/(length(Column6)-spaces6) - N7<-sum(Column7 %in% "N")/(length(Column7)-spaces7) - N8<-sum(Column8 %in% "N")/(length(Column8)-spaces8) - N9<-sum(Column9 %in% "N")/(length(Column9)-spaces9) - N10<-sum(Column10 %in% "N")/(length(Column10)-spaces10) - N11<-sum(Column11 %in% "N")/(length(Column11)-spaces11) - N12<-sum(Column12 %in% "N")/(length(Column12)-spaces12) - N13<-sum(Column13 %in% "N")/(length(Column13)-spaces13) - N14<-sum(Column14 %in% "N")/(length(Column14)-spaces14) - N15<-sum(Column15 %in% "N")/(length(Column15)-spaces15) - NllNs<-cbind(N1,N2,N3,N4,N5,N6,N7,N8,N9,N10,N11,N12,N13,N14,N15) - - - P1<-sum(Column1 %in% "P")/(length(Column1)-spaces1) - P2<-sum(Column2 %in% "P")/(length(Column2)-spaces2) - P3<-sum(Column3 %in% "P")/(length(Column3)-spaces3) - P4<-sum(Column4 %in% "P")/(length(Column4)-spaces4) - P5<-sum(Column5 %in% "P")/(length(Column5)-spaces5) - P6<-sum(Column6 %in% "P")/(length(Column6)-spaces6) - P7<-sum(Column7 %in% "P")/(length(Column7)-spaces7) - P8<-sum(Column8 %in% "P")/(length(Column8)-spaces8) - P9<-sum(Column9 %in% "P")/(length(Column9)-spaces9) - P10<-sum(Column10 %in% "P")/(length(Column10)-spaces10) - P11<-sum(Column11 %in% "P")/(length(Column11)-spaces11) - P12<-sum(Column12 %in% "P")/(length(Column12)-spaces12) - P13<-sum(Column13 %in% "P")/(length(Column13)-spaces13) - P14<-sum(Column14 %in% "P")/(length(Column14)-spaces14) - P15<-sum(Column15 %in% "P")/(length(Column15)-spaces15) - PllPs<-cbind(P1,P2,P3,P4,P5,P6,P7,P8,P9,P10,P11,P12,P13,P14,P15) - - - Q1<-sum(Column1 %in% "Q")/(length(Column1)-spaces1) - Q2<-sum(Column2 %in% "Q")/(length(Column2)-spaces2) - Q3<-sum(Column3 %in% "Q")/(length(Column3)-spaces3) - Q4<-sum(Column4 %in% "Q")/(length(Column4)-spaces4) - Q5<-sum(Column5 %in% "Q")/(length(Column5)-spaces5) - Q6<-sum(Column6 %in% "Q")/(length(Column6)-spaces6) - Q7<-sum(Column7 %in% "Q")/(length(Column7)-spaces7) - Q8<-sum(Column8 %in% "Q")/(length(Column8)-spaces8) - Q9<-sum(Column9 %in% "Q")/(length(Column9)-spaces9) - Q10<-sum(Column10 %in% "Q")/(length(Column10)-spaces10) - Q11<-sum(Column11 %in% "Q")/(length(Column11)-spaces11) - Q12<-sum(Column12 %in% "Q")/(length(Column12)-spaces12) - Q13<-sum(Column13 %in% "Q")/(length(Column13)-spaces13) - Q14<-sum(Column14 %in% "Q")/(length(Column14)-spaces14) - Q15<-sum(Column15 %in% "Q")/(length(Column15)-spaces15) - QllQs<-cbind(Q1,Q2,Q3,Q4,Q5,Q6,Q7,Q8,Q9,Q10,Q11,Q12,Q13,Q14,Q15) - - - R1<-sum(Column1 %in% "R")/(length(Column1)-spaces1) - R2<-sum(Column2 %in% "R")/(length(Column2)-spaces2) - R3<-sum(Column3 %in% "R")/(length(Column3)-spaces3) - R4<-sum(Column4 %in% "R")/(length(Column4)-spaces4) - R5<-sum(Column5 %in% "R")/(length(Column5)-spaces5) - R6<-sum(Column6 %in% "R")/(length(Column6)-spaces6) - R7<-sum(Column7 %in% "R")/(length(Column7)-spaces7) - R8<-sum(Column8 %in% "R")/(length(Column8)-spaces8) - R9<-sum(Column9 %in% "R")/(length(Column9)-spaces9) - R10<-sum(Column10 %in% "R")/(length(Column10)-spaces10) - R11<-sum(Column11 %in% "R")/(length(Column11)-spaces11) - R12<-sum(Column12 %in% "R")/(length(Column12)-spaces12) - R13<-sum(Column13 %in% "R")/(length(Column13)-spaces13) - R14<-sum(Column14 %in% "R")/(length(Column14)-spaces14) - R15<-sum(Column15 %in% "R")/(length(Column15)-spaces15) - RllRs<-cbind(R1,R2,R3,R4,R5,R6,R7,R8,R9,R10,R11,R12,R13,R14,R15) - - - S1<-sum(Column1 %in% "S")/(length(Column1)-spaces1) - S2<-sum(Column2 %in% "S")/(length(Column2)-spaces2) - S3<-sum(Column3 %in% "S")/(length(Column3)-spaces3) - S4<-sum(Column4 %in% "S")/(length(Column4)-spaces4) - S5<-sum(Column5 %in% "S")/(length(Column5)-spaces5) - S6<-sum(Column6 %in% "S")/(length(Column6)-spaces6) - S7<-sum(Column7 %in% "S")/(length(Column7)-spaces7) - S8<-sum(Column8 %in% "S")/(length(Column8)-spaces8) - S9<-sum(Column9 %in% "S")/(length(Column9)-spaces9) - S10<-sum(Column10 %in% "S")/(length(Column10)-spaces10) - S11<-sum(Column11 %in% "S")/(length(Column11)-spaces11) - S12<-sum(Column12 %in% "S")/(length(Column12)-spaces12) - S13<-sum(Column13 %in% "S")/(length(Column13)-spaces13) - S14<-sum(Column14 %in% "S")/(length(Column14)-spaces14) - S15<-sum(Column15 %in% "S")/(length(Column15)-spaces15) - SllSs<-cbind(S1,S2,S3,S4,S5,S6,S7,S8,S9,S10,S11,S12,S13,S14,S15) - - - T1<-sum(Column1 %in% "T")/(length(Column1)-spaces1) - T2<-sum(Column2 %in% "T")/(length(Column2)-spaces2) - T3<-sum(Column3 %in% "T")/(length(Column3)-spaces3) - T4<-sum(Column4 %in% "T")/(length(Column4)-spaces4) - T5<-sum(Column5 %in% "T")/(length(Column5)-spaces5) - T6<-sum(Column6 %in% "T")/(length(Column6)-spaces6) - T7<-sum(Column7 %in% "T")/(length(Column7)-spaces7) - T8<-sum(Column8 %in% "T")/(length(Column8)-spaces8) - T9<-sum(Column9 %in% "T")/(length(Column9)-spaces9) - T10<-sum(Column10 %in% "T")/(length(Column10)-spaces10) - T11<-sum(Column11 %in% "T")/(length(Column11)-spaces11) - T12<-sum(Column12 %in% "T")/(length(Column12)-spaces12) - T13<-sum(Column13 %in% "T")/(length(Column13)-spaces13) - T14<-sum(Column14 %in% "T")/(length(Column14)-spaces14) - T15<-sum(Column15 %in% "T")/(length(Column15)-spaces15) - TllTs<-cbind(T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15) - - - V1<-sum(Column1 %in% "V")/(length(Column1)-spaces1) - V2<-sum(Column2 %in% "V")/(length(Column2)-spaces2) - V3<-sum(Column3 %in% "V")/(length(Column3)-spaces3) - V4<-sum(Column4 %in% "V")/(length(Column4)-spaces4) - V5<-sum(Column5 %in% "V")/(length(Column5)-spaces5) - V6<-sum(Column6 %in% "V")/(length(Column6)-spaces6) - V7<-sum(Column7 %in% "V")/(length(Column7)-spaces7) - V8<-sum(Column8 %in% "V")/(length(Column8)-spaces8) - V9<-sum(Column9 %in% "V")/(length(Column9)-spaces9) - V10<-sum(Column10 %in% "V")/(length(Column10)-spaces10) - V11<-sum(Column11 %in% "V")/(length(Column11)-spaces11) - V12<-sum(Column12 %in% "V")/(length(Column12)-spaces12) - V13<-sum(Column13 %in% "V")/(length(Column13)-spaces13) - V14<-sum(Column14 %in% "V")/(length(Column14)-spaces14) - V15<-sum(Column15 %in% "V")/(length(Column15)-spaces15) - VllVs<-cbind(V1,V2,V3,V4,V5,V6,V7,V8,V9,V10,V11,V12,V13,V14,V15) - - - W1<-sum(Column1 %in% "W")/(length(Column1)-spaces1) - W2<-sum(Column2 %in% "W")/(length(Column2)-spaces2) - W3<-sum(Column3 %in% "W")/(length(Column3)-spaces3) - W4<-sum(Column4 %in% "W")/(length(Column4)-spaces4) - W5<-sum(Column5 %in% "W")/(length(Column5)-spaces5) - W6<-sum(Column6 %in% "W")/(length(Column6)-spaces6) - W7<-sum(Column7 %in% "W")/(length(Column7)-spaces7) - W8<-sum(Column8 %in% "W")/(length(Column8)-spaces8) - W9<-sum(Column9 %in% "W")/(length(Column9)-spaces9) - W10<-sum(Column10 %in% "W")/(length(Column10)-spaces10) - W11<-sum(Column11 %in% "W")/(length(Column11)-spaces11) - W12<-sum(Column12 %in% "W")/(length(Column12)-spaces12) - W13<-sum(Column13 %in% "W")/(length(Column13)-spaces13) - W14<-sum(Column14 %in% "W")/(length(Column14)-spaces14) - W15<-sum(Column15 %in% "W")/(length(Column15)-spaces15) - WllWs<-cbind(W1,W2,W3,W4,W5,W6,W7,W8,W9,W10,W11,W12,W13,W14,W15) - - - Y1<-sum(Column1 %in% "Y")/(length(Column1)-spaces1) - Y2<-sum(Column2 %in% "Y")/(length(Column2)-spaces2) - Y3<-sum(Column3 %in% "Y")/(length(Column3)-spaces3) - Y4<-sum(Column4 %in% "Y")/(length(Column4)-spaces4) - Y5<-sum(Column5 %in% "Y")/(length(Column5)-spaces5) - Y6<-sum(Column6 %in% "Y")/(length(Column6)-spaces6) - Y7<-sum(Column7 %in% "Y")/(length(Column7)-spaces7) - Y8<-sum(Column8 %in% "Y")/(length(Column8)-spaces8) - Y9<-sum(Column9 %in% "Y")/(length(Column9)-spaces9) - Y10<-sum(Column10 %in% "Y")/(length(Column10)-spaces10) - Y11<-sum(Column11 %in% "Y")/(length(Column11)-spaces11) - Y12<-sum(Column12 %in% "Y")/(length(Column12)-spaces12) - Y13<-sum(Column13 %in% "Y")/(length(Column13)-spaces13) - Y14<-sum(Column14 %in% "Y")/(length(Column14)-spaces14) - Y15<-sum(Column15 %in% "Y")/(length(Column15)-spaces15) - YllYs<-cbind(Y1,Y2,Y3,Y4,Y5,Y6,Y7,Y8,Y9,Y10,Y11,Y12,Y13,Y14,Y15) -} -#this is substrate percents - -#A C D E F G H I K L N P Q R S T V W Y - -PercentTable<-rbind(AllAs,CllCs,DllDs,EllEs,FllFs,GllGs,HllHs,IllIs,KllKs,LllLs,MllMs,NllNs,PllPs,QllQs,RllRs,SllSs,TllTs,VllVs,WllWs,YllYs) -PercentTable<-PercentTable*100 - -#create the SD table -SDtable<-matrix(data = rep(1,times=(nrow(PercentTable)*ncol(PercentTable))),nrow = nrow(PercentTable),ncol = ncol(PercentTable)) -#for every row, a percertage minus the same mean over the same SD -if(1==1){ - SDtable[1,]<-(PercentTable[1,]-Amean)/Asd - SDtable[2,]<-(PercentTable[2,]-Cmean)/Csd - SDtable[3,]<-(PercentTable[3,]-Dmean)/Dsd - SDtable[4,]<-(PercentTable[4,]-Emean)/Esd - SDtable[5,]<-(PercentTable[5,]-Fmean)/Fsd - SDtable[6,]<-(PercentTable[6,]-Gmean)/Gsd - SDtable[7,]<-(PercentTable[7,]-Hmean)/Hsd - SDtable[8,]<-(PercentTable[8,]-Imean)/Isd - SDtable[9,]<-(PercentTable[9,]-Kmean)/Ksd - SDtable[10,]<-(PercentTable[10,]-Lmean)/Lsd - SDtable[11,]<-(PercentTable[11,]-Mmean)/Msd - SDtable[12,]<-(PercentTable[12,]-Nmean)/Nsd - SDtable[13,]<-(PercentTable[13,]-Pmean)/Psd - SDtable[14,]<-(PercentTable[14,]-Qmean)/Qsd - SDtable[15,]<-(PercentTable[15,]-Rmean)/Rsd - SDtable[16,]<-(PercentTable[16,]-Smean)/Ssd - SDtable[17,]<-(PercentTable[17,]-Tmean)/Tsd - SDtable[18,]<-(PercentTable[18,]-Vmean)/Vsd - SDtable[19,]<-(PercentTable[19,]-Wmean)/Wsd - SDtable[20,]<-(PercentTable[20,]-Ymean)/Ysd -} - - -SetOfAAs<-c("Letter","A","C","D","E","F","G","H","I","K","L","M","N","P","Q","R","S","T","V","W","Y") - - -SumOfSigmaAAs<-c(1:15) - -for (i in 1:15){ - SumOfSigmasValue<-0 - for (j in 1:20){ - value<-0 - if (SDtable[j,i]>2){ - value<-sum(substrates[,i]==SetOfAAs[j]) - } - SumOfSigmasValue<-SumOfSigmasValue+value - } - SumOfSigmaAAs[i]<-SumOfSigmasValue -} - -# AAs1<-length(substrates[,1])-sum(substrates[,1]=="") -# AAs2<-length(substrates[,2])-sum(substrates[,2]=="") -# AAs3<-length(substrates[,3])-sum(substrates[,3]=="") -# AAs4<-length(substrates[,4])-sum(substrates[,4]=="") -# AAs5<-length(substrates[,5])-sum(substrates[,5]=="") -# AAs6<-length(substrates[,6])-sum(substrates[,6]=="") -# AAs7<-length(substrates[,7])-sum(substrates[,7]=="") -# AAs8<-length(substrates[,8])-sum(substrates[,8]=="") -# AAs9<-length(substrates[,9])-sum(substrates[,9]=="") -# -# -# -# #AAsAtPositions<-c(AAs1,AAs2,AAs3,AAs4,AAs5,AAs6,AAs7,AAs8,AAs9) -# AAsAtPositions<-c(length(substrates[,1]),length(substrates[,2]),length(substrates[,3]),length(substrates[,4]), -# length(substrates[,5]),length(substrates[,6]),length(substrates[,7]),length(substrates[,8]), -# length(substrates[,9])) - -SumOfExpectedSigmaAAs<-c(1:15) -for (i in 1:15){ - ExpectedValue<-0 - for (j in 1:20){ - value<-0 - if (SDtable[j,i]>2){ - value<-AllMeans[j] - } - ExpectedValue<-ExpectedValue+value - } - SumOfExpectedSigmaAAs[i]<-ExpectedValue*(length(substrates[,i])-sum(substrates[,i]%in% ""))/100 -} - -SelectivityRow<-SumOfSigmaAAs/SumOfExpectedSigmaAAs -SelectivitySheet<-rbind(SumOfSigmaAAs,SumOfExpectedSigmaAAs,SelectivityRow) - -SetOfAAs<-matrix(data = SetOfAAs,ncol = 1) - -SDtableu<-SDtable -HeaderSD<-c(-7:7) -SDtable<-rbind(HeaderSD,SDtableu) -row.names(SDtable)<-NULL -SDtable<-data.frame(SetOfAAs,SDtable) - -PercentTable<-rbind(HeaderSD,PercentTable) -row.names(PercentTable)<-NULL -PercentTable<-data.frame(SetOfAAs,PercentTable) -numberofY<-as.numeric(SubstrateBackgroundFrequency$Number.of.Y) -numberofY<-numberofY[!is.na(numberofY)] - -numberofPY<-as.numeric(SubstrateBackgroundFrequency$Number.of.pY) -numberofPY<-numberofPY[!is.na(numberofPY)] - -NormalizationScore<-sum(numberofPY)/sum(numberofY) - -# positions<-matrix(data = NA, nrow=20,ncol = 15) -# -# #column1 -# -# for (q in 1:15) { -# sA<-sum(substrates[,i]=="A") -# positions[1,i]<-sA -# sC<-sum(substrates[,i]=="C") -# positions[2,i]<-sC -# sD<-sum(substrates[,i]=="D") -# positions[3,i]<-sD -# sE<-sum(substrates[,i]=="E") -# positions[4,i]<-sE -# sF<-sum(substrates[,i]=="F") -# sG<-sum(substrates[,i]=="G") -# sH<-sum(substrates[,i]=="H") -# sI<-sum(substrates[,i]=="I") -# sK<-sum(substrates[,i]=="K") -# sL<-sum(substrates[,i]=="L") -# sM<-sum(substrates[,i]=="M") -# sN<-sum(substrates[,i]=="N") -# sP<-sum(substrates[,i]=="P") -# sQ<-sum(substrates[,i]=="Q") -# sR<-sum(substrates[,i]=="R") -# sS<-sum(substrates[,i]=="S") -# sT<-sum(substrates[,i]=="T") -# sV<-sum(substrates[,i]=="V") -# sW<-sum(substrates[,i]=="W") -# sY<-sum(substrates[,i]=="Y") -# positions[5,i]<-sF -# positions[6,i]<-sG -# positions[7,i]<-sH -# positions[8,i]<-sI -# positions[9,i]<-sK -# positions[10,i]<-sL -# positions[11,i]<-sM -# positions[12,i]<-sN -# positions[13,i]<-sP -# positions[14,i]<-sQ -# positions[15,i]<-sR -# positions[16,i]<-sS -# positions[17,i]<-sT -# positions[18,i]<-sV -# positions[19,i]<-sW -# positions[20,i]<-sY -# } - -#here I create the positions table which is needed for the endogenous prob matrix and is simply "how many times did an AA show up in this spot? -if (6==6){ - Column1<-substrates[,1] - Column2<-substrates[,2] - Column3<-substrates[,3] - Column4<-substrates[,4] - Column5<-substrates[,5] - Column6<-substrates[,6] - Column7<-substrates[,7] - Column8<-substrates[,8] - Column9<-substrates[,9] - Column10<-substrates[,10] - Column11<-substrates[,11] - Column12<-substrates[,12] - Column13<-substrates[,13] - Column14<-substrates[,14] - Column15<-substrates[,15] - - spaces1<-sum((Column1%in% "")) - spaces2<-sum(Column2%in% "") - spaces3<-sum(Column3%in% "") - spaces4<-sum(Column4%in% "") - spaces5<-sum(Column5%in% "") - spaces6<-sum(Column6%in% "") - spaces7<-sum(Column7%in% "") - spaces8<-sum(Column8%in% "") - spaces9<-sum(Column9%in% "") - spaces10<-sum(Column10%in% "") - spaces11<-sum(Column11%in% "") - spaces12<-sum(Column12%in% "") - spaces13<-sum(Column13%in% "") - spaces14<-sum(Column14%in% "") - spaces15<-sum(Column15%in% "") - - A1<-sum(Column1 %in% "A") - A2<-sum(Column2 %in% "A") - A3<-sum(Column3 %in% "A") - A4<-sum(Column4 %in% "A") - A5<-sum(Column5 %in% "A") - A6<-sum(Column6 %in% "A") - A7<-sum(Column7 %in% "A") - A8<-sum(Column8 %in% "A") - A9<-sum(Column9 %in% "A") - A10<-sum(Column10 %in% "A") - A11<-sum(Column11 %in% "A") - A12<-sum(Column12 %in% "A") - A13<-sum(Column13 %in% "A") - A14<-sum(Column14 %in% "A") - A15<-sum(Column15 %in% "A") - AllAs<-cbind(A1,A2,A3,A4,A5,A6,A7,A8,A9,A10,A11,A12,A13,A14,A15) - - C1<-sum(Column1 %in% "C") - C2<-sum(Column2 %in% "C") - C3<-sum(Column3 %in% "C") - C4<-sum(Column4 %in% "C") - C5<-sum(Column5 %in% "C") - C6<-sum(Column6 %in% "C") - C7<-sum(Column7 %in% "C") - C8<-sum(Column8 %in% "C") - C9<-sum(Column9 %in% "C") - C10<-sum(Column10 %in% "C") - C11<-sum(Column11 %in% "C") - C12<-sum(Column12 %in% "C") - C13<-sum(Column13 %in% "C") - C14<-sum(Column14 %in% "C") - C15<-sum(Column15 %in% "C") - CllCs<-cbind(C1,C2,C3,C4,C5,C6,C7,C8,C9,C10,C11,C12,C13,C14,C15) - - D1<-sum(Column1 %in% "D") - D2<-sum(Column2 %in% "D") - D3<-sum(Column3 %in% "D") - D4<-sum(Column4 %in% "D") - D5<-sum(Column5 %in% "D") - D6<-sum(Column6 %in% "D") - D7<-sum(Column7 %in% "D") - D8<-sum(Column8 %in% "D") - D9<-sum(Column9 %in% "D") - D10<-sum(Column10 %in% "D") - D11<-sum(Column11 %in% "D") - D12<-sum(Column12 %in% "D") - D13<-sum(Column13 %in% "D") - D14<-sum(Column14 %in% "D") - D15<-sum(Column15 %in% "D") - DllDs<-cbind(D1,D2,D3,D4,D5,D6,D7,D8,D9,D10,D11,D12,D13,D14,D15) - - E1<-sum(Column1 %in% "E") - E2<-sum(Column2 %in% "E") - E3<-sum(Column3 %in% "E") - E4<-sum(Column4 %in% "E") - E5<-sum(Column5 %in% "E") - E6<-sum(Column6 %in% "E") - E7<-sum(Column7 %in% "E") - E8<-sum(Column8 %in% "E") - E9<-sum(Column9 %in% "E") - E10<-sum(Column10 %in% "E") - E11<-sum(Column11 %in% "E") - E12<-sum(Column12 %in% "E") - E13<-sum(Column13 %in% "E") - E14<-sum(Column14 %in% "E") - E15<-sum(Column15 %in% "E") - EllEs<-cbind(E1,E2,E3,E4,E5,E6,E7,E8,E9,E10,E11,E12,E13,E14,E15) - - F1<-sum(Column1 %in% "F") - F2<-sum(Column2 %in% "F") - F3<-sum(Column3 %in% "F") - F4<-sum(Column4 %in% "F") - F5<-sum(Column5 %in% "F") - F6<-sum(Column6 %in% "F") - F7<-sum(Column7 %in% "F") - F8<-sum(Column8 %in% "F") - F9<-sum(Column9 %in% "F") - F10<-sum(Column10 %in% "F") - F11<-sum(Column11 %in% "F") - F12<-sum(Column12 %in% "F") - F13<-sum(Column13 %in% "F") - F14<-sum(Column14 %in% "F") - F15<-sum(Column15 %in% "F") - FllFs<-cbind(F1,F2,F3,F4,F5,F6,F7,F8,F9,F10,F11,F12,F13,F14,F15) - - G1<-sum(Column1 %in% "G") - G2<-sum(Column2 %in% "G") - G3<-sum(Column3 %in% "G") - G4<-sum(Column4 %in% "G") - G5<-sum(Column5 %in% "G") - G6<-sum(Column6 %in% "G") - G7<-sum(Column7 %in% "G") - G8<-sum(Column8 %in% "G") - G9<-sum(Column9 %in% "G") - G10<-sum(Column10 %in% "G") - G11<-sum(Column11 %in% "G") - G12<-sum(Column12 %in% "G") - G13<-sum(Column13 %in% "G") - G14<-sum(Column14 %in% "G") - G15<-sum(Column15 %in% "G") - GllGs<-cbind(G1,G2,G3,G4,G5,G6,G7,G8,G9,G10,G11,G12,G13,G14,G15) - - H1<-sum(Column1 %in% "H") - H2<-sum(Column2 %in% "H") - H3<-sum(Column3 %in% "H") - H4<-sum(Column4 %in% "H") - H5<-sum(Column5 %in% "H") - H6<-sum(Column6 %in% "H") - H7<-sum(Column7 %in% "H") - H8<-sum(Column8 %in% "H") - H9<-sum(Column9 %in% "H") - H10<-sum(Column10 %in% "H") - H11<-sum(Column11 %in% "H") - H12<-sum(Column12 %in% "H") - H13<-sum(Column13 %in% "H") - H14<-sum(Column14 %in% "H") - H15<-sum(Column15 %in% "H") - HllHs<-cbind(H1,H2,H3,H4,H5,H6,H7,H8,H9,H10,H11,H12,H13,H14,H15) - - I1<-sum(Column1 %in% "I") - I2<-sum(Column2 %in% "I") - I3<-sum(Column3 %in% "I") - I4<-sum(Column4 %in% "I") - I5<-sum(Column5 %in% "I") - I6<-sum(Column6 %in% "I") - I7<-sum(Column7 %in% "I") - I8<-sum(Column8 %in% "I") - I9<-sum(Column9 %in% "I") - I10<-sum(Column10 %in% "I") - I11<-sum(Column11 %in% "I") - I12<-sum(Column12 %in% "I") - I13<-sum(Column13 %in% "I") - I14<-sum(Column14 %in% "I") - I15<-sum(Column15 %in% "I") - IllIs<-cbind(I1,I2,I3,I4,I5,I6,I7,I8,I9,I10,I11,I12,I13,I14,I15) - - K1<-sum(Column1 %in% "K") - K2<-sum(Column2 %in% "K") - K3<-sum(Column3 %in% "K") - K4<-sum(Column4 %in% "K") - K5<-sum(Column5 %in% "K") - K6<-sum(Column6 %in% "K") - K7<-sum(Column7 %in% "K") - K8<-sum(Column8 %in% "K") - K9<-sum(Column9 %in% "K") - K10<-sum(Column10 %in% "K") - K11<-sum(Column11 %in% "K") - K12<-sum(Column12 %in% "K") - K13<-sum(Column13 %in% "K") - K14<-sum(Column14 %in% "K") - K15<-sum(Column15 %in% "K") - KllKs<-cbind(K1,K2,K3,K4,K5,K6,K7,K8,K9,K10,K11,K12,K13,K14,K15) - - L1<-sum(Column1 %in% "L") - L2<-sum(Column2 %in% "L") - L3<-sum(Column3 %in% "L") - L4<-sum(Column4 %in% "L") - L5<-sum(Column5 %in% "L") - L6<-sum(Column6 %in% "L") - L7<-sum(Column7 %in% "L") - L8<-sum(Column8 %in% "L") - L9<-sum(Column9 %in% "L") - L10<-sum(Column10 %in% "L") - L11<-sum(Column11 %in% "L") - L12<-sum(Column12 %in% "L") - L13<-sum(Column13 %in% "L") - L14<-sum(Column14 %in% "L") - L15<-sum(Column15 %in% "L") - LllLs<-cbind(L1,L2,L3,L4,L5,L6,L7,L8,L9,L10,L11,L12,L13,L14,L15) - - M1<-sum(Column1 %in% "M") - M2<-sum(Column2 %in% "M") - M3<-sum(Column3 %in% "M") - M4<-sum(Column4 %in% "M") - M5<-sum(Column5 %in% "M") - M6<-sum(Column6 %in% "M") - M7<-sum(Column7 %in% "M") - M8<-sum(Column8 %in% "M") - M9<-sum(Column9 %in% "M") - M10<-sum(Column10 %in% "M") - M11<-sum(Column11 %in% "M") - M12<-sum(Column12 %in% "M") - M13<-sum(Column13 %in% "M") - M14<-sum(Column14 %in% "M") - M15<-sum(Column15 %in% "M") - MllMs<-cbind(M1,M2,M3,M4,M5,M6,M7,M8,M9,M10,M11,M12,M13,M14,M15) - - N1<-sum(Column1 %in% "N") - N2<-sum(Column2 %in% "N") - N3<-sum(Column3 %in% "N") - N4<-sum(Column4 %in% "N") - N5<-sum(Column5 %in% "N") - N6<-sum(Column6 %in% "N") - N7<-sum(Column7 %in% "N") - N8<-sum(Column8 %in% "N") - N9<-sum(Column9 %in% "N") - N10<-sum(Column10 %in% "N") - N11<-sum(Column11 %in% "N") - N12<-sum(Column12 %in% "N") - N13<-sum(Column13 %in% "N") - N14<-sum(Column14 %in% "N") - N15<-sum(Column15 %in% "N") - NllNs<-cbind(N1,N2,N3,N4,N5,N6,N7,N8,N9,N10,N11,N12,N13,N14,N15) - - P1<-sum(Column1 %in% "P") - P2<-sum(Column2 %in% "P") - P3<-sum(Column3 %in% "P") - P4<-sum(Column4 %in% "P") - P5<-sum(Column5 %in% "P") - P6<-sum(Column6 %in% "P") - P7<-sum(Column7 %in% "P") - P8<-sum(Column8 %in% "P") - P9<-sum(Column9 %in% "P") - P10<-sum(Column10 %in% "P") - P11<-sum(Column11 %in% "P") - P12<-sum(Column12 %in% "P") - P13<-sum(Column13 %in% "P") - P14<-sum(Column14 %in% "P") - P15<-sum(Column15 %in% "P") - PllPs<-cbind(P1,P2,P3,P4,P5,P6,P7,P8,P9,P10,P11,P12,P13,P14,P15) - - Q1<-sum(Column1 %in% "Q") - Q2<-sum(Column2 %in% "Q") - Q3<-sum(Column3 %in% "Q") - Q4<-sum(Column4 %in% "Q") - Q5<-sum(Column5 %in% "Q") - Q6<-sum(Column6 %in% "Q") - Q7<-sum(Column7 %in% "Q") - Q8<-sum(Column8 %in% "Q") - Q9<-sum(Column9 %in% "Q") - Q10<-sum(Column10 %in% "Q") - Q11<-sum(Column11 %in% "Q") - Q12<-sum(Column12 %in% "Q") - Q13<-sum(Column13 %in% "Q") - Q14<-sum(Column14 %in% "Q") - Q15<-sum(Column15 %in% "Q") - QllQs<-cbind(Q1,Q2,Q3,Q4,Q5,Q6,Q7,Q8,Q9,Q10,Q11,Q12,Q13,Q14,Q15) - - R1<-sum(Column1 %in% "R") - R2<-sum(Column2 %in% "R") - R3<-sum(Column3 %in% "R") - R4<-sum(Column4 %in% "R") - R5<-sum(Column5 %in% "R") - R6<-sum(Column6 %in% "R") - R7<-sum(Column7 %in% "R") - R8<-sum(Column8 %in% "R") - R9<-sum(Column9 %in% "R") - R10<-sum(Column10 %in% "R") - R11<-sum(Column11 %in% "R") - R12<-sum(Column12 %in% "R") - R13<-sum(Column13 %in% "R") - R14<-sum(Column14 %in% "R") - R15<-sum(Column15 %in% "R") - RllRs<-cbind(R1,R2,R3,R4,R5,R6,R7,R8,R9,R10,R11,R12,R13,R14,R15) - - S1<-sum(Column1 %in% "S") - S2<-sum(Column2 %in% "S") - S3<-sum(Column3 %in% "S") - S4<-sum(Column4 %in% "S") - S5<-sum(Column5 %in% "S") - S6<-sum(Column6 %in% "S") - S7<-sum(Column7 %in% "S") - S8<-sum(Column8 %in% "S") - S9<-sum(Column9 %in% "S") - S10<-sum(Column10 %in% "S") - S11<-sum(Column11 %in% "S") - S12<-sum(Column12 %in% "S") - S13<-sum(Column13 %in% "S") - S14<-sum(Column14 %in% "S") - S15<-sum(Column15 %in% "S") - SllSs<-cbind(S1,S2,S3,S4,S5,S6,S7,S8,S9,S10,S11,S12,S13,S14,S15) - - T1<-sum(Column1 %in% "T") - T2<-sum(Column2 %in% "T") - T3<-sum(Column3 %in% "T") - T4<-sum(Column4 %in% "T") - T5<-sum(Column5 %in% "T") - T6<-sum(Column6 %in% "T") - T7<-sum(Column7 %in% "T") - T8<-sum(Column8 %in% "T") - T9<-sum(Column9 %in% "T") - T10<-sum(Column10 %in% "T") - T11<-sum(Column11 %in% "T") - T12<-sum(Column12 %in% "T") - T13<-sum(Column13 %in% "T") - T14<-sum(Column14 %in% "T") - T15<-sum(Column15 %in% "T") - TllTs<-cbind(T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15) - - V1<-sum(Column1 %in% "V") - V2<-sum(Column2 %in% "V") - V3<-sum(Column3 %in% "V") - V4<-sum(Column4 %in% "V") - V5<-sum(Column5 %in% "V") - V6<-sum(Column6 %in% "V") - V7<-sum(Column7 %in% "V") - V8<-sum(Column8 %in% "V") - V9<-sum(Column9 %in% "V") - V10<-sum(Column10 %in% "V") - V11<-sum(Column11 %in% "V") - V12<-sum(Column12 %in% "V") - V13<-sum(Column13 %in% "V") - V14<-sum(Column14 %in% "V") - V15<-sum(Column15 %in% "V") - VllVs<-cbind(V1,V2,V3,V4,V5,V6,V7,V8,V9,V10,V11,V12,V13,V14,V15) - - W1<-sum(Column1 %in% "W") - W2<-sum(Column2 %in% "W") - W3<-sum(Column3 %in% "W") - W4<-sum(Column4 %in% "W") - W5<-sum(Column5 %in% "W") - W6<-sum(Column6 %in% "W") - W7<-sum(Column7 %in% "W") - W8<-sum(Column8 %in% "W") - W9<-sum(Column9 %in% "W") - W10<-sum(Column10 %in% "W") - W11<-sum(Column11 %in% "W") - W12<-sum(Column12 %in% "W") - W13<-sum(Column13 %in% "W") - W14<-sum(Column14 %in% "W") - W15<-sum(Column15 %in% "W") - WllWs<-cbind(W1,W2,W3,W4,W5,W6,W7,W8,W9,W10,W11,W12,W13,W14,W15) - - Y1<-sum(Column1 %in% "Y") - Y2<-sum(Column2 %in% "Y") - Y3<-sum(Column3 %in% "Y") - Y4<-sum(Column4 %in% "Y") - Y5<-sum(Column5 %in% "Y") - Y6<-sum(Column6 %in% "Y") - Y7<-sum(Column7 %in% "Y") - Y8<-sum(Column8 %in% "Y") - Y9<-sum(Column9 %in% "Y") - Y10<-sum(Column10 %in% "Y") - Y11<-sum(Column11 %in% "Y") - Y12<-sum(Column12 %in% "Y") - Y13<-sum(Column13 %in% "Y") - Y14<-sum(Column14 %in% "Y") - Y15<-sum(Column15 %in% "Y") - YllYs<-cbind(Y1,Y2,Y3,Y4,Y5,Y6,Y7,Y8,Y9,Y10,Y11,Y12,Y13,Y14,Y15) - PositionTable<-rbind(AllAs,CllCs,DllDs,EllEs,FllFs,GllGs,HllHs,IllIs,KllKs,LllLs,MllMs,NllNs,PllPs,QllQs,RllRs,SllSs,TllTs,VllVs,WllWs,YllYs) -} -#endogenous prob matrix is AA position over subbackfreqmean -dim(PositionTable) -EPMtable<-PositionTable -# EPMtable[1,]<-(PositionTable[1,]/(PositionTable[1,]*.01*Amean)) -# EPMtable[2,]<-(PositionTable[2,]/(PositionTable[2,]*.01*Cmean)) -# EPMtable[3,]<-(PositionTable[3,]/(PositionTable[3,]*.01*Dmean)) -# EPMtable[4,]<-(PositionTable[4,]/(PositionTable[4,]*.01*Emean)) -# EPMtable[5,]<-(PositionTable[5,]/(PositionTable[5,]*.01*Fmean)) -# EPMtable[6,]<-(PositionTable[6,]/(PositionTable[6,]*.01*Gmean)) -# EPMtable[7,]<-(PositionTable[7,]/(PositionTable[7,]*.01*Hmean)) -# EPMtable[8,]<-(PositionTable[8,]/(PositionTable[8,]*.01*Imean)) -# EPMtable[9,]<-(PositionTable[9,]/(PositionTable[9,]*.01*Kmean)) -# EPMtable[10,]<-(PositionTable[10,]/(PositionTable[10,]*.01*Lmean)) -# EPMtable[11,]<-(PositionTable[11,]/(PositionTable[11,]*.01*Mmean)) -# EPMtable[12,]<-(PositionTable[12,]/(PositionTable[12,]*.01*Nmean)) -# EPMtable[13,]<-(PositionTable[13,]/(PositionTable[13,]*.01*Pmean)) -# EPMtable[14,]<-(PositionTable[14,]/(PositionTable[14,]*.01*Qmean)) -# EPMtable[15,]<-(PositionTable[15,]/(PositionTable[15,]*.01*Rmean)) -# EPMtable[16,]<-(PositionTable[16,]/(PositionTable[16,]*.01*Smean)) -# EPMtable[17,]<-(PositionTable[17,]/(PositionTable[17,]*.01*Tmean)) -# EPMtable[18,]<-(PositionTable[18,]/(PositionTable[18,]*.01*Vmean)) -# EPMtable[19,]<-(PositionTable[19,]/(PositionTable[19,]*.01*Wmean)) -# EPMtable[20,]<-(PositionTable[20,]/(PositionTable[20,]*.01*Ymean)) - -columns<-c(length(Column1)-sum(Column1==""), - length(Column2)-sum(Column2==""), - length(Column3)-sum(Column3==""), - length(Column4)-sum(Column4==""), - length(Column5)-sum(Column5==""), - length(Column6)-sum(Column6==""), - length(Column7)-sum(Column7==""), - length(Column8)-sum(Column8==""), - length(Column9)-sum(Column9==""), - length(Column10)-sum(Column10==""), - length(Column11)-sum(Column11==""), - length(Column12)-sum(Column12==""), - length(Column13)-sum(Column13==""), - length(Column14)-sum(Column14==""), - length(Column15)-sum(Column15=="")) - -for (z in 1:15) { - for (y in 1:20) { - if (PositionTable[y,z]>0){ - EPMtable[y,z]<-PositionTable[y,z]/((columns[z]*.01*AllMeans[y])) - } - if (PositionTable[y,z]==0){ - EPMtable[y,z]<-(1/columns[z])/((columns[z]*.01*AllMeans[y])) - } - } -} -#here I created the endogenous probability matrix -#now all I need to do is make the program automatically determine which SDs are >2, and then make it perform screener and sorter on those SDs - - - - - -# write.xlsx(SDtable,file=FILENAME, sheetName = "Standard Deviation Table",col.names = FALSE,row.names = FALSE,append = TRUE) -# write.xlsx(PercentTable,file = FILENAME,sheetName = "Percent Table",col.names = FALSE,row.names = FALSE,append = TRUE) -# write.xlsx(SelectivitySheet,file = FILENAME,sheetName = "Site Selectivity",col.names = FALSE,row.names = FALSE,append = TRUE) -# write.xlsx(EPMtable,file=FILENAME,sheetName = "Endogenous Probability Matrix",col.names = FALSE,row.names = FALSE,append = TRUE) -# write.xlsx(NormalizationScore,file = FILENAME,sheetName = "Normalization Score",col.names = FALSE,row.names = FALSE,append = TRUE) - -NormalizationScore<-c("Normalization Score",NormalizationScore) - -write.table(x=c("SD Table"),file=FILENAME,append = TRUE,sep=",", row.names = FALSE, col.names = FALSE) -write.table(SDtable,file=FILENAME,append = TRUE,sep=",", row.names = FALSE, col.names = FALSE) -write.table(x=c("Percent Table"),file=FILENAME,append = TRUE,sep=",", row.names = FALSE, col.names = FALSE) -write.table(PercentTable,file=FILENAME, append = TRUE,sep=",",row.names = FALSE, col.names = FALSE) - -EPMtableu<-EPMtable -HeaderSD<-c(-7:7) -EPMtableu<-rbind(HeaderSD,EPMtableu) -row.names(EPMtableu)<-NULL -EPMtableu<-data.frame(SetOfAAs,EPMtableu) - -write.table("Site Selectivity Matrix", file = FILENAME2, append = TRUE, sep = ",", row.names = FALSE, col.names = FALSE) -SelectivityHeader=matrix(data = c("Position",-7,-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6,7),nrow = 1) -head<-matrix(data=rep(" ",times=16),nrow = 1) -SelectivityHeader<-rbind(head,SelectivityHeader) - -write.table(SelectivityHeader, file = FILENAME2, append = TRUE, sep = ",", row.names = FALSE, col.names = FALSE) -#colnames(SelectivitySheet)<-c("-7","-6","-5","-4","-3","-2","-1","0","1","2","3","4","5","6","7") -write.table(SelectivitySheet,file = FILENAME2, append = TRUE,sep = ",",row.names = TRUE, col.names = FALSE) -write.table(x=c("Endogenous Probability Matrix"),file=FILENAME2,append = TRUE,sep=",", row.names = FALSE, col.names = FALSE) -write.table(EPMtableu,file = FILENAME2, append = TRUE,sep = ",",row.names = FALSE, col.names = FALSE) -write.table(NormalizationScore, file = FILENAME2, append = TRUE,sep = ",",row.names = FALSE, col.names = FALSE) -
--- a/kinatestid_r/Kinatest-R_part2.R Thu Feb 08 15:10:42 2018 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,790 +0,0 @@ -#test myself: this script should take in amino acids for each of the 9 positions and give out every single combination of those AAs - -#need to do following: fix it so that the accession numbers stay with the substrates, -#also the neg false constant is totaly unphos'd Ys found by FASTA-2-CSV system# uniprot - -#HOW MANY: IF THERE'S two aas in each position you get 2^9, so I assume the numbers are: -#(number in position-4)*(number in position -3)*(number in position -2)...=total -# require(rJava) -# require(xlsxjars) -# require(xlsx) -# # require(readxl) - -#View(SDtable) -bareSDs<-SDtable[2:21,2:16] -goodones<-bareSDs>2 - -Positionm7<-which(goodones[,1] %in% TRUE) -if (length(Positionm7)<1){Positionm7<-which(bareSDs[,1]==max(bareSDs[,1]))} -Positionm6<-which(goodones[,2] %in% TRUE) -if (length(Positionm6)<1){Positionm6<-which(bareSDs[,2]==max(bareSDs[,2]))} -Positionm5<-which(goodones[,3] %in% TRUE) -if (length(Positionm5)<1){Positionm5<-which(bareSDs[,3]==max(bareSDs[,3]))} -Positionm4<-which(goodones[,4] %in% TRUE) -if (length(Positionm4)<1){Positionm4<-which(bareSDs[,4]==max(bareSDs[,4]))} -Positionm3<-which(goodones[,5] %in% TRUE) -if (length(Positionm3)<1){Positionm3<-which(bareSDs[,5]==max(bareSDs[,5]))} -Positionm2<-which(goodones[,6] %in% TRUE) -if (length(Positionm2)<1){Positionm2<-which(bareSDs[,6]==max(bareSDs[,6]))} -Positionm1<-which(goodones[,7] %in% TRUE) -if (length(Positionm1)<1){Positionm1<-which(bareSDs[,7]==max(bareSDs[,7]))} - -Positiond0<-which(goodones[,8] %in% TRUE) -if (length(Positiond0)<1){Positiond0<-which(bareSDs[,8]==max(bareSDs[,8]))} - -Positionp1<-which(goodones[,9] %in% TRUE) -if (length(Positionp1)<1){Positionp1<-which(bareSDs[,9]==max(bareSDs[,9]))} -Positionp2<-which(goodones[,10] %in% TRUE) -if (length(Positionp2)<1){Positionp2<-which(bareSDs[,10]==max(bareSDs[,10]))} -Positionp3<-which(goodones[,11] %in% TRUE) -if (length(Positionp3)<1){Positionp3<-which(bareSDs[,11]==max(bareSDs[,11]))} -Positionp4<-which(goodones[,12] %in% TRUE) -if (length(Positionp4)<1){Positionp4<-which(bareSDs[,12]==max(bareSDs[,12]))} -Positionp5<-which(goodones[,13] %in% TRUE) -if (length(Positionp5)<1){Positionp5<-which(bareSDs[,13]==max(bareSDs[,13]))} -Positionp6<-which(goodones[,14] %in% TRUE) -if (length(Positionp6)<1){Positionp6<-which(bareSDs[,14]==max(bareSDs[,14]))} -Positionp7<-which(goodones[,15] %in% TRUE) -if (length(Positionp7)<1){Positionp7<-which(bareSDs[,15]==max(bareSDs[,15]))} - -aa_props2 <- c("1"="A", "2"="C", "3"="D", "4"="E", "5"="F", "6"="G", "7"="H", "8"="I", "9"="K", "10"="L", "11"="M", "12"="N", - "13"="P", "14"="Q", "15"="R", "16"="S", "17"="T", "18"="V", "19"="W", "20"="Y") - -Positionm7<-sapply(Positionm7, function (x) aa_props2[x]) -Positionm6<-sapply(Positionm6, function (x) aa_props2[x]) -Positionm5<-sapply(Positionm5, function (x) aa_props2[x]) -Positionm4<-sapply(Positionm4, function (x) aa_props2[x]) -Positionm3<-sapply(Positionm3, function (x) aa_props2[x]) -Positionm2<-sapply(Positionm2, function (x) aa_props2[x]) -Positionm1<-sapply(Positionm1, function (x) aa_props2[x]) -Positiond0<-sapply(Positiond0, function (x) aa_props2[x]) -Positionp1<-sapply(Positionp1, function (x) aa_props2[x]) -Positionp2<-sapply(Positionp2, function (x) aa_props2[x]) -Positionp3<-sapply(Positionp3, function (x) aa_props2[x]) -Positionp4<-sapply(Positionp4, function (x) aa_props2[x]) -Positionp5<-sapply(Positionp5, function (x) aa_props2[x]) -Positionp6<-sapply(Positionp6, function (x) aa_props2[x]) -Positionp7<-sapply(Positionp7, function (x) aa_props2[x]) - - -# Positionm7<-c("D","H","N","V") -# Positionm6<-c("E","V") -# Positionm5<-c("D","H") -# Positionm4<-c("D","N") -# Positionm3<-c("D","E","F","Q") -# Positionm2<-c("D","N","Q","S") -# Positionm1<-c("F","I","L") -# Positiond0<-c("Y") -# Positionp1<-c("A","E") -# Positionp2<-c("T","S","Q","E") -# Positionp3<-c("V") -# Positionp4<-c("K") -# Positionp5<-c("K") -# Positionp6<-c("K") -# Positionp7<-c("R") -#this is where the amino acids for each position are given. m means minus, p mean plus -######################################## -# ScreenerFilename<-"C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls" - - - - - - - - - - - -screaner<-read.csv(ScreenerFilename, header = FALSE, stringsAsFactors = FALSE) - - -Abl<-screaner[2:25,] -Arg<-screaner[27:50,] -Btk<-screaner[52:75,] -Csk<-screaner[77:100,] -Fyn<-screaner[102:125,] -Hck<-screaner[127:150,] -JAK2<-screaner[152:175,] -Lck<-screaner[177:200,] -Lyn<-screaner[202:225,] -Pyk2<-screaner[227:250,] -Src<-screaner[252:275,] -Syk<-screaner[277:300,] -Yes<-screaner[302:325,] - -#two questions: why are we doing BTK when we already have a bioninformatics page about it? -#two I reran everything and only get 96 positions of interest in the SD table - - - - - - - - - -#Do_You_want_An_Excel_Output_Questionmark<-"NO" -GeneratedPeptidesFile<-"GeneratedPeptidesFile.csv" - - -# Abl<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 4) -# Arg<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 5) -# Btk<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 6) -# Csk<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 7) -# Fyn<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 8) -# Hck<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 9) -# JAK2<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 10) -# Lck<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 11) -# Lyn<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 12) -# Pyk2<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 13) -# Src<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 14) -# Syk<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 15) -# Yes<-read.xlsx("C:/Users/User Name/Desktop/UMN 2017 Spring/Parker Lab/Kinatest ID/Screener.xls", sheetIndex = 16) -# - - -"A"=1 -"C"=2 -"D"=3 -"E"=4 -"F"=5 -"G"=6 -"H"=7 -"I"=8 -"K"=9 -"L"=10 -"M"=11 -"N"=12 -"P"=13 -"Q"=14 -"R"=15 -"S"=16 -"T"=17 -"V"=18 -"W"=19 -"Y"=20 - -aa_props <- c("A"=A, "C"=C, "D"=D, "E"=E, "F"=F,"G"=G,"H"=H,"I"=I,"K"=K,"L"=L,"M"=M,"N"=N,"P"=P,"Q"=Q,"R"=R, - "S"=S,"T"=T,"V"=V,"W"=W,"Y"=Y,"xY"=Y,"O"=21) - -number15<-sapply(Positionm7, function (x) aa_props[x]) -number14<-sapply(Positionm6, function (x) aa_props[x]) -number13<-sapply(Positionm5, function (x) aa_props[x]) -number1 <- sapply(Positionm4, function (x) aa_props[x]) -number2 <- sapply(Positionm3, function (x) aa_props[x]) -number3 <- sapply(Positionm2, function (x) aa_props[x]) -number4 <- sapply(Positionm1, function (x) aa_props[x]) -number5 <- sapply(Positiond0, function (x) aa_props[x]) -number6 <- sapply(Positionp1, function (x) aa_props[x]) -number7 <- sapply(Positionp2, function (x) aa_props[x]) -number8 <- sapply(Positionp3, function (x) aa_props[x]) -number9 <- sapply(Positionp4, function (x) aa_props[x]) -number10<-sapply(Positionp5, function (x) aa_props[x]) -number11<-sapply(Positionp6, function (x) aa_props[x]) -number12<-sapply(Positionp7, function (x) aa_props[x]) - -# number1<-Positionm4 -# number2<-Positionm3 -# number3<-Positionm2 -# number4<-Positionm1 -# number5<-Positiond0 -# number6<-Positionp1 -# number7<-Positionp2 -# number8<-Positionp3 -# number9<-Positionp4 - -############################# -#here I create the Abl seqs with proper value for each number -if (1==0){ - Ablnumber1<- gsub("A",A,Ablnumber1,perl = TRUE) - Ablnumber1<- gsub("C",C,Ablnumber1,perl = TRUE) - Ablnumber1<- gsub("D",D,Ablnumber1,perl = TRUE) - Ablnumber1<- gsub("E",E,Ablnumber1,perl = TRUE) - Ablnumber1<- gsub("F",F,Ablnumber1,perl = TRUE) - Ablnumber1<- gsub("G",G,Ablnumber1,perl = TRUE) - Ablnumber1<- gsub("H",H,Ablnumber1,perl = TRUE) - Ablnumber1<- gsub("I",I,Ablnumber1,perl = TRUE) - Ablnumber1<- gsub("K",K,Ablnumber1,perl = TRUE) - Ablnumber1<- gsub("L",L,Ablnumber1,perl = TRUE) - Ablnumber1<- gsub("M",M,Ablnumber1,perl = TRUE) - Ablnumber1<- gsub("N",N,Ablnumber1,perl = TRUE) - Ablnumber1<- gsub("P",P,Ablnumber1,perl = TRUE) - Ablnumber1<- gsub("Q",Q,Ablnumber1,perl = TRUE) - Ablnumber1<- gsub("R",R,Ablnumber1,perl = TRUE) - Ablnumber1<- gsub("S",S,Ablnumber1,perl = TRUE) - Ablnumber1<- gsub("T",T,Ablnumber1,perl = TRUE) - Ablnumber1<- gsub("V",V,Ablnumber1,perl = TRUE) - Ablnumber1<- gsub("W",W,Ablnumber1,perl = TRUE) - Ablnumber1<- gsub("Y",Y,Ablnumber1,perl = TRUE) - - Ablnumber2<- gsub("A",A,Ablnumber2,perl = TRUE) - Ablnumber2<- gsub("C",C,Ablnumber2,perl = TRUE) - Ablnumber2<- gsub("D",D,Ablnumber2,perl = TRUE) - Ablnumber2<- gsub("E",E,Ablnumber2,perl = TRUE) - Ablnumber2<- gsub("F",F,Ablnumber2,perl = TRUE) - Ablnumber2<- gsub("G",G,Ablnumber2,perl = TRUE) - Ablnumber2<- gsub("H",H,Ablnumber2,perl = TRUE) - Ablnumber2<- gsub("I",I,Ablnumber2,perl = TRUE) - Ablnumber2<- gsub("K",K,Ablnumber2,perl = TRUE) - Ablnumber2<- gsub("L",L,Ablnumber2,perl = TRUE) - Ablnumber2<- gsub("M",M,Ablnumber2,perl = TRUE) - Ablnumber2<- gsub("N",N,Ablnumber2,perl = TRUE) - Ablnumber2<- gsub("P",P,Ablnumber2,perl = TRUE) - Ablnumber2<- gsub("Q",Q,Ablnumber2,perl = TRUE) - Ablnumber2<- gsub("R",R,Ablnumber2,perl = TRUE) - Ablnumber2<- gsub("S",S,Ablnumber2,perl = TRUE) - Ablnumber2<- gsub("T",T,Ablnumber2,perl = TRUE) - Ablnumber2<- gsub("V",V,Ablnumber2,perl = TRUE) - Ablnumber2<- gsub("W",W,Ablnumber2,perl = TRUE) - Ablnumber2<- gsub("Y",Y,Ablnumber2,perl = TRUE) - - Ablnumber3<- gsub("A",A,Ablnumber3,perl = TRUE) - Ablnumber3<- gsub("C",C,Ablnumber3,perl = TRUE) - Ablnumber3<- gsub("D",D,Ablnumber3,perl = TRUE) - Ablnumber3<- gsub("E",E,Ablnumber3,perl = TRUE) - Ablnumber3<- gsub("F",F,Ablnumber3,perl = TRUE) - Ablnumber3<- gsub("G",G,Ablnumber3,perl = TRUE) - Ablnumber3<- gsub("H",H,Ablnumber3,perl = TRUE) - Ablnumber3<- gsub("I",I,Ablnumber3,perl = TRUE) - Ablnumber3<- gsub("K",K,Ablnumber3,perl = TRUE) - Ablnumber3<- gsub("L",L,Ablnumber3,perl = TRUE) - Ablnumber3<- gsub("M",M,Ablnumber3,perl = TRUE) - Ablnumber3<- gsub("N",N,Ablnumber3,perl = TRUE) - Ablnumber3<- gsub("P",P,Ablnumber3,perl = TRUE) - Ablnumber3<- gsub("Q",Q,Ablnumber3,perl = TRUE) - Ablnumber3<- gsub("R",R,Ablnumber3,perl = TRUE) - Ablnumber3<- gsub("S",S,Ablnumber3,perl = TRUE) - Ablnumber3<- gsub("T",T,Ablnumber3,perl = TRUE) - Ablnumber3<- gsub("V",V,Ablnumber3,perl = TRUE) - Ablnumber3<- gsub("W",W,Ablnumber3,perl = TRUE) - Ablnumber3<- gsub("Y",Y,Ablnumber3,perl = TRUE) - - Ablnumber4<- gsub("A",A,Ablnumber4,perl = TRUE) - Ablnumber4<- gsub("C",C,Ablnumber4,perl = TRUE) - Ablnumber4<- gsub("D",D,Ablnumber4,perl = TRUE) - Ablnumber4<- gsub("E",E,Ablnumber4,perl = TRUE) - Ablnumber4<- gsub("F",F,Ablnumber4,perl = TRUE) - Ablnumber4<- gsub("G",G,Ablnumber4,perl = TRUE) - Ablnumber4<- gsub("H",H,Ablnumber4,perl = TRUE) - Ablnumber4<- gsub("I",I,Ablnumber4,perl = TRUE) - Ablnumber4<- gsub("K",K,Ablnumber4,perl = TRUE) - Ablnumber4<- gsub("L",L,Ablnumber4,perl = TRUE) - Ablnumber4<- gsub("M",M,Ablnumber4,perl = TRUE) - Ablnumber4<- gsub("N",N,Ablnumber4,perl = TRUE) - Ablnumber4<- gsub("P",P,Ablnumber4,perl = TRUE) - Ablnumber4<- gsub("Q",Q,Ablnumber4,perl = TRUE) - Ablnumber4<- gsub("R",R,Ablnumber4,perl = TRUE) - Ablnumber4<- gsub("S",S,Ablnumber4,perl = TRUE) - Ablnumber4<- gsub("T",T,Ablnumber4,perl = TRUE) - Ablnumber4<- gsub("V",V,Ablnumber4,perl = TRUE) - Ablnumber4<- gsub("W",W,Ablnumber4,perl = TRUE) - Ablnumber4<- gsub("Y",Y,Ablnumber4,perl = TRUE) - - Ablnumber5<- gsub("A",A,Ablnumber5,perl = TRUE) - Ablnumber5<- gsub("C",C,Ablnumber5,perl = TRUE) - Ablnumber5<- gsub("D",D,Ablnumber5,perl = TRUE) - Ablnumber5<- gsub("E",E,Ablnumber5,perl = TRUE) - Ablnumber5<- gsub("F",F,Ablnumber5,perl = TRUE) - Ablnumber5<- gsub("G",G,Ablnumber5,perl = TRUE) - Ablnumber5<- gsub("H",H,Ablnumber5,perl = TRUE) - Ablnumber5<- gsub("I",I,Ablnumber5,perl = TRUE) - Ablnumber5<- gsub("K",K,Ablnumber5,perl = TRUE) - Ablnumber5<- gsub("L",L,Ablnumber5,perl = TRUE) - Ablnumber5<- gsub("M",M,Ablnumber5,perl = TRUE) - Ablnumber5<- gsub("N",N,Ablnumber5,perl = TRUE) - Ablnumber5<- gsub("P",P,Ablnumber5,perl = TRUE) - Ablnumber5<- gsub("Q",Q,Ablnumber5,perl = TRUE) - Ablnumber5<- gsub("R",R,Ablnumber5,perl = TRUE) - Ablnumber5<- gsub("S",S,Ablnumber5,perl = TRUE) - Ablnumber5<- gsub("T",T,Ablnumber5,perl = TRUE) - Ablnumber5<- gsub("V",V,Ablnumber5,perl = TRUE) - Ablnumber5<- gsub("W",W,Ablnumber5,perl = TRUE) - Ablnumber5<- gsub("Y",Y,Ablnumber5,perl = TRUE) - - Ablnumber6<- gsub("A",A,Ablnumber6,perl = TRUE) - Ablnumber6<- gsub("C",C,Ablnumber6,perl = TRUE) - Ablnumber6<- gsub("D",D,Ablnumber6,perl = TRUE) - Ablnumber6<- gsub("E",E,Ablnumber6,perl = TRUE) - Ablnumber6<- gsub("F",F,Ablnumber6,perl = TRUE) - Ablnumber6<- gsub("G",G,Ablnumber6,perl = TRUE) - Ablnumber6<- gsub("H",H,Ablnumber6,perl = TRUE) - Ablnumber6<- gsub("I",I,Ablnumber6,perl = TRUE) - Ablnumber6<- gsub("K",K,Ablnumber6,perl = TRUE) - Ablnumber6<- gsub("L",L,Ablnumber6,perl = TRUE) - Ablnumber6<- gsub("M",M,Ablnumber6,perl = TRUE) - Ablnumber6<- gsub("N",N,Ablnumber6,perl = TRUE) - Ablnumber6<- gsub("P",P,Ablnumber6,perl = TRUE) - Ablnumber6<- gsub("Q",Q,Ablnumber6,perl = TRUE) - Ablnumber6<- gsub("R",R,Ablnumber6,perl = TRUE) - Ablnumber6<- gsub("S",S,Ablnumber6,perl = TRUE) - Ablnumber6<- gsub("T",T,Ablnumber6,perl = TRUE) - Ablnumber6<- gsub("V",V,Ablnumber6,perl = TRUE) - Ablnumber6<- gsub("W",W,Ablnumber6,perl = TRUE) - Ablnumber6<- gsub("Y",Y,Ablnumber6,perl = TRUE) - - Ablnumber7<- gsub("A",A,Ablnumber7,perl = TRUE) - Ablnumber7<- gsub("C",C,Ablnumber7,perl = TRUE) - Ablnumber7<- gsub("D",D,Ablnumber7,perl = TRUE) - Ablnumber7<- gsub("E",E,Ablnumber7,perl = TRUE) - Ablnumber7<- gsub("F",F,Ablnumber7,perl = TRUE) - Ablnumber7<- gsub("G",G,Ablnumber7,perl = TRUE) - Ablnumber7<- gsub("H",H,Ablnumber7,perl = TRUE) - Ablnumber7<- gsub("I",I,Ablnumber7,perl = TRUE) - Ablnumber7<- gsub("K",K,Ablnumber7,perl = TRUE) - Ablnumber7<- gsub("L",L,Ablnumber7,perl = TRUE) - Ablnumber7<- gsub("M",M,Ablnumber7,perl = TRUE) - Ablnumber7<- gsub("N",N,Ablnumber7,perl = TRUE) - Ablnumber7<- gsub("P",P,Ablnumber7,perl = TRUE) - Ablnumber7<- gsub("Q",Q,Ablnumber7,perl = TRUE) - Ablnumber7<- gsub("R",R,Ablnumber7,perl = TRUE) - Ablnumber7<- gsub("S",S,Ablnumber7,perl = TRUE) - Ablnumber7<- gsub("T",T,Ablnumber7,perl = TRUE) - Ablnumber7<- gsub("V",V,Ablnumber7,perl = TRUE) - Ablnumber7<- gsub("W",W,Ablnumber7,perl = TRUE) - Ablnumber7<- gsub("Y",Y,Ablnumber7,perl = TRUE) - - Ablnumber8<- gsub("A",A,Ablnumber8,perl = TRUE) - Ablnumber8<- gsub("C",C,Ablnumber8,perl = TRUE) - Ablnumber8<- gsub("D",D,Ablnumber8,perl = TRUE) - Ablnumber8<- gsub("E",E,Ablnumber8,perl = TRUE) - Ablnumber8<- gsub("F",F,Ablnumber8,perl = TRUE) - Ablnumber8<- gsub("G",G,Ablnumber8,perl = TRUE) - Ablnumber8<- gsub("H",H,Ablnumber8,perl = TRUE) - Ablnumber8<- gsub("I",I,Ablnumber8,perl = TRUE) - Ablnumber8<- gsub("K",K,Ablnumber8,perl = TRUE) - Ablnumber8<- gsub("L",L,Ablnumber8,perl = TRUE) - Ablnumber8<- gsub("M",M,Ablnumber8,perl = TRUE) - Ablnumber8<- gsub("N",N,Ablnumber8,perl = TRUE) - Ablnumber8<- gsub("P",P,Ablnumber8,perl = TRUE) - Ablnumber8<- gsub("Q",Q,Ablnumber8,perl = TRUE) - Ablnumber8<- gsub("R",R,Ablnumber8,perl = TRUE) - Ablnumber8<- gsub("S",S,Ablnumber8,perl = TRUE) - Ablnumber8<- gsub("T",T,Ablnumber8,perl = TRUE) - Ablnumber8<- gsub("V",V,Ablnumber8,perl = TRUE) - Ablnumber8<- gsub("W",W,Ablnumber8,perl = TRUE) - Ablnumber8<- gsub("Y",Y,Ablnumber8,perl = TRUE) - - Ablnumber9<- gsub("A",A,Ablnumber9,perl = TRUE) - Ablnumber9<- gsub("C",C,Ablnumber9,perl = TRUE) - Ablnumber9<- gsub("D",D,Ablnumber9,perl = TRUE) - Ablnumber9<- gsub("E",E,Ablnumber9,perl = TRUE) - Ablnumber9<- gsub("F",F,Ablnumber9,perl = TRUE) - Ablnumber9<- gsub("G",G,Ablnumber9,perl = TRUE) - Ablnumber9<- gsub("H",H,Ablnumber9,perl = TRUE) - Ablnumber9<- gsub("I",I,Ablnumber9,perl = TRUE) - Ablnumber9<- gsub("K",K,Ablnumber9,perl = TRUE) - Ablnumber9<- gsub("L",L,Ablnumber9,perl = TRUE) - Ablnumber9<- gsub("M",M,Ablnumber9,perl = TRUE) - Ablnumber9<- gsub("N",N,Ablnumber9,perl = TRUE) - Ablnumber9<- gsub("P",P,Ablnumber9,perl = TRUE) - Ablnumber9<- gsub("Q",Q,Ablnumber9,perl = TRUE) - Ablnumber9<- gsub("R",R,Ablnumber9,perl = TRUE) - Ablnumber9<- gsub("S",S,Ablnumber9,perl = TRUE) - Ablnumber9<- gsub("T",T,Ablnumber9,perl = TRUE) - Ablnumber9<- gsub("V",V,Ablnumber9,perl = TRUE) - Ablnumber9<- gsub("W",W,Ablnumber9,perl = TRUE) - Ablnumber9<- gsub("Y",Y,Ablnumber9,perl = TRUE) -} -######################################## - - -total=length(Positionp7)*length(Positionp6)*length(Positionp5)*length(Positionp4)*length(Positionp3)*(length(Positionp2))*length(Positionp1)* - length(Positiond0)*length(Positionm1)*length(Positionm2)*length(Positionm3)*length(Positionm4)*length(Positionm5)*length(Positionm6)*length(Positionm7) -#this is just a way to doublecheck that the length of the generated peptides vector is correct - -GeneratedPeptides<-rep(NA, times=total*15) -GeneratedPeptides<-matrix(data = GeneratedPeptides,ncol = 15) - -NumeratedPeptides<-GeneratedPeptides -#create an empty vector of correct length by finding the number of each AAs per position and multiplying them -count<-0 -for (t in 1:length(Positionm7)) { - for (s in 1:length(Positionm6)) { - for (r in 1:length(Positionm5)) { - for (i in 1:length(Positionm4)) { - for (j in 1:length(Positionm3)) { - for (k in 1:length(Positionm2)) { - for (l in 1:length(Positionm1)) { - for (m in 1:length(Positiond0)) { - for (n in 1:length(Positionp1)) { - for (o in 1:length(Positionp2)) { - for (p in 1:length(Positionp3)) { - for (q in 1:length(Positionp4)) { - for (u in 1:length(Positionp5)) { - for (v in 1:length(Positionp6)) { - for (w in 1:length(Positionp7)) { - # i=1 - # j=1 - # k=1 - # l=1 - # m=1 - # n=1 - # o=1 - # p=1 - # q=1 - # - #for every single position, increment the count number, create a peptide using the AAs at that position - #then put them together into the generated peptides sequencex - count<-count+1 - tabulation<-c(Positionm7[t],Positionm6[s],Positionm5[r],Positionm4[i],Positionm3[j],Positionm2[k],Positionm1[l],Positiond0[m],Positionp1[n], - Positionp2[o],Positionp3[p],Positionp4[q],Positionp5[u],Positionp6[v],Positionp7[w]) - numeration<-c(number15[t],number14[s],number13[r],number1[i],number2[j],number3[k],number4[l],number5[m],number6[n],number7[o],number8[p],number9[q],number10[u],number11[v], - number12[w]) - #tabulation<-paste(tabulation, sep="", collapse="") - GeneratedPeptides[count,1:15]<-tabulation - NumeratedPeptides[count,1:15]<-numeration - } - } - } - } - } - } - } - } - } - } - } - } - } - } -} -#################################################################### -#now here I use the Endogenous Probabilty matrix from the previous script, which is called EMPtable -#to score the created peptides -ThisKinTable<-EPMtableu#[1:nrow(SDtable),] -TKTcolumn<-c(data=rep(1,times=21)) -TKTcolumn<-as.matrix(TKTcolumn,ncol=1) -ThisKinTable<-cbind(TKTcolumn,ThisKinTable) - -ThisKinGeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) -ThisKinGenWeirdScore<-rep(NA,times=nrow(GeneratedPeptides)) - -for (x in 1:nrow(GeneratedPeptides)){ - Scoringpeptide<-NumeratedPeptides[x,1:15] - Scoringpeptide<-Scoringpeptide+1 - ThisKinTableScore<-as.numeric(ThisKinTable[Scoringpeptide[1],3])*ThisKinTable[as.numeric(Scoringpeptide[2]),4]*ThisKinTable[as.numeric(Scoringpeptide[3]),5]* - ThisKinTable[as.numeric(Scoringpeptide[4]),6]*ThisKinTable[as.numeric(Scoringpeptide[5]),7]*ThisKinTable[as.numeric(Scoringpeptide[6]),8]*ThisKinTable[as.numeric(Scoringpeptide[7]),9]* - #ThisKinTable[as.numeric(Scoringpeptide[8]),10]* - ThisKinTable[as.numeric(Scoringpeptide[9]),11]*ThisKinTable[as.numeric(Scoringpeptide[10]),12]*ThisKinTable[as.numeric(Scoringpeptide[11]),13]* - ThisKinTable[as.numeric(Scoringpeptide[12]),14]*ThisKinTable[as.numeric(Scoringpeptide[13]),15]*ThisKinTable[as.numeric(Scoringpeptide[14]),16]*ThisKinTable[as.numeric(Scoringpeptide[15]),17] - ThisKinGeneratedScores[x]<-ThisKinTableScore - ThisKinTableScore<-(ThisKinTableScore/(ThisKinTableScore+1/as.numeric(NormalizationScore[2]))) - ThisKinGenWeirdScore[x]<-ThisKinTableScore -} - -AblGeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) -ArgGeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) -BtkGeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) -CskGeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) -FynGeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) -HckGeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) -JAK2GeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) -LckGeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) -LynGeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) -Pyk2GeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) -SrcGeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) -SykGeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) -YesGeneratedScores<-rep(NA,times=nrow(GeneratedPeptides)) - - -for (x in 1:nrow(GeneratedPeptides)){ - Scoringpeptide<-NumeratedPeptides[x,1:15] - AblScore<-Abl[Scoringpeptide[1],2]*Abl[Scoringpeptide[2],3]*Abl[Scoringpeptide[3],4]*Abl[Scoringpeptide[4],5]*Abl[Scoringpeptide[5],6]*Abl[Scoringpeptide[6],7]* - Abl[Scoringpeptide[7],8]*Abl[Scoringpeptide[9],10]*Abl[Scoringpeptide[10],11]*Abl[Scoringpeptide[11],12]*Abl[Scoringpeptide[12],13]* - Abl[Scoringpeptide[13],14]*Abl[Scoringpeptide[14],15]*Abl[Scoringpeptide[15],16] - AblGeneratedScores[x]<-AblScore - - ArgScore<-Arg[Scoringpeptide[1],2]*Arg[Scoringpeptide[2],3]*Arg[Scoringpeptide[3],4]*Arg[Scoringpeptide[4],5]*Arg[Scoringpeptide[5],6]*Arg[Scoringpeptide[6],7]* - Arg[Scoringpeptide[7],8]*Arg[Scoringpeptide[9],10]*Arg[Scoringpeptide[10],11]*Arg[Scoringpeptide[11],12]*Arg[Scoringpeptide[12],13]* - Arg[Scoringpeptide[13],14]*Arg[Scoringpeptide[14],15]*Arg[Scoringpeptide[15],16] - ArgGeneratedScores[x]<-ArgScore - - BtkScore<-Btk[Scoringpeptide[1],2]*Btk[Scoringpeptide[2],3]*Btk[Scoringpeptide[3],4]*Btk[Scoringpeptide[4],5]*Btk[Scoringpeptide[5],6]*Btk[Scoringpeptide[6],7]* - Btk[Scoringpeptide[7],8]*Btk[Scoringpeptide[9],10]*Btk[Scoringpeptide[10],11]*Btk[Scoringpeptide[11],12]*Btk[Scoringpeptide[12],13]* - Btk[Scoringpeptide[13],14]*Btk[Scoringpeptide[14],15]*Btk[Scoringpeptide[15],16] - BtkGeneratedScores[x]<-BtkScore - - CskScore<-Csk[Scoringpeptide[1],2]*Csk[Scoringpeptide[2],3]*Csk[Scoringpeptide[3],4]*Csk[Scoringpeptide[4],5]*Csk[Scoringpeptide[5],6]*Csk[Scoringpeptide[6],7]* - Csk[Scoringpeptide[7],8]*Csk[Scoringpeptide[9],10]*Csk[Scoringpeptide[10],11]*Csk[Scoringpeptide[11],12]*Csk[Scoringpeptide[12],13]* - Csk[Scoringpeptide[13],14]*Csk[Scoringpeptide[14],15]*Csk[Scoringpeptide[15],16] - CskGeneratedScores[x]<-CskScore - - FynScore<-Fyn[Scoringpeptide[1],2]*Fyn[Scoringpeptide[2],3]*Fyn[Scoringpeptide[3],4]*Fyn[Scoringpeptide[4],5]*Fyn[Scoringpeptide[5],6]*Fyn[Scoringpeptide[6],7]* - Fyn[Scoringpeptide[7],8]*Fyn[Scoringpeptide[9],10]*Fyn[Scoringpeptide[10],11]*Fyn[Scoringpeptide[11],12]*Fyn[Scoringpeptide[12],13]* - Fyn[Scoringpeptide[13],14]*Fyn[Scoringpeptide[14],15]*Fyn[Scoringpeptide[15],16] - FynGeneratedScores[x]<-FynScore - - HckScore<-Hck[Scoringpeptide[1],2]*Hck[Scoringpeptide[2],3]*Hck[Scoringpeptide[3],4]*Hck[Scoringpeptide[4],5]*Hck[Scoringpeptide[5],6]*Hck[Scoringpeptide[6],7]* - Hck[Scoringpeptide[7],8]*Hck[Scoringpeptide[9],10]*Hck[Scoringpeptide[10],11]*Hck[Scoringpeptide[11],12]*Hck[Scoringpeptide[12],13]* - Hck[Scoringpeptide[13],14]*Hck[Scoringpeptide[14],15]*Hck[Scoringpeptide[15],16] - HckGeneratedScores[x]<-HckScore - - JAK2Score<-JAK2[Scoringpeptide[1],2]*JAK2[Scoringpeptide[2],3]*JAK2[Scoringpeptide[3],4]*JAK2[Scoringpeptide[4],5]*JAK2[Scoringpeptide[5],6]*JAK2[Scoringpeptide[6],7]* - JAK2[Scoringpeptide[7],8]*JAK2[Scoringpeptide[9],10]*JAK2[Scoringpeptide[10],11]*JAK2[Scoringpeptide[11],12]*JAK2[Scoringpeptide[12],13]* - JAK2[Scoringpeptide[13],14]*JAK2[Scoringpeptide[14],15]*JAK2[Scoringpeptide[15],16] - JAK2GeneratedScores[x]<-JAK2Score - - LckScore<-Lck[Scoringpeptide[1],2]*Lck[Scoringpeptide[2],3]*Lck[Scoringpeptide[3],4]*Lck[Scoringpeptide[4],5]*Lck[Scoringpeptide[5],6]*Lck[Scoringpeptide[6],7]* - Lck[Scoringpeptide[7],8]*Lck[Scoringpeptide[9],10]*Lck[Scoringpeptide[10],11]*Lck[Scoringpeptide[11],12]*Lck[Scoringpeptide[12],13]* - Lck[Scoringpeptide[13],14]*Lck[Scoringpeptide[14],15]*Lck[Scoringpeptide[15],16] - LckGeneratedScores[x]<-LckScore - - LynScore<-Lyn[Scoringpeptide[1],2]*Lyn[Scoringpeptide[2],3]*Lyn[Scoringpeptide[3],4]*Lyn[Scoringpeptide[4],5]*Lyn[Scoringpeptide[5],6]*Lyn[Scoringpeptide[6],7]* - Lyn[Scoringpeptide[7],8]*Lyn[Scoringpeptide[9],10]*Lyn[Scoringpeptide[10],11]*Lyn[Scoringpeptide[11],12]*Lyn[Scoringpeptide[12],13]* - Lyn[Scoringpeptide[13],14]*Lyn[Scoringpeptide[14],15]*Lyn[Scoringpeptide[15],16] - LynGeneratedScores[x]<-LynScore - - Pyk2Score<-Pyk2[Scoringpeptide[1],2]*Pyk2[Scoringpeptide[2],3]*Pyk2[Scoringpeptide[3],4]*Pyk2[Scoringpeptide[4],5]*Pyk2[Scoringpeptide[5],6]*Pyk2[Scoringpeptide[6],7]* - Pyk2[Scoringpeptide[7],8]*Pyk2[Scoringpeptide[9],10]*Pyk2[Scoringpeptide[10],11]*Pyk2[Scoringpeptide[11],12]*Pyk2[Scoringpeptide[12],13]* - Pyk2[Scoringpeptide[13],14]*Pyk2[Scoringpeptide[14],15]*Pyk2[Scoringpeptide[15],16] - Pyk2GeneratedScores[x]<-Pyk2Score - - SrcScore<-Src[Scoringpeptide[1],2]*Src[Scoringpeptide[2],3]*Src[Scoringpeptide[3],4]*Src[Scoringpeptide[4],5]*Src[Scoringpeptide[5],6]*Src[Scoringpeptide[6],7]* - Src[Scoringpeptide[7],8]*Src[Scoringpeptide[9],10]*Src[Scoringpeptide[10],11]*Src[Scoringpeptide[11],12]*Src[Scoringpeptide[12],13]* - Src[Scoringpeptide[13],14]*Src[Scoringpeptide[14],15]*Src[Scoringpeptide[15],16] - SrcGeneratedScores[x]<-SrcScore - - SykScore<-Syk[Scoringpeptide[1],2]*Syk[Scoringpeptide[2],3]*Syk[Scoringpeptide[3],4]*Syk[Scoringpeptide[4],5]*Syk[Scoringpeptide[5],6]*Syk[Scoringpeptide[6],7]* - Syk[Scoringpeptide[7],8]*Syk[Scoringpeptide[9],10]*Syk[Scoringpeptide[10],11]*Syk[Scoringpeptide[11],12]*Syk[Scoringpeptide[12],13]* - Syk[Scoringpeptide[13],14]*Syk[Scoringpeptide[14],15]*Syk[Scoringpeptide[15],16] - SykGeneratedScores[x]<-SykScore - - YesScore<-Yes[Scoringpeptide[1],2]*Yes[Scoringpeptide[2],3]*Yes[Scoringpeptide[3],4]*Yes[Scoringpeptide[4],5]*Yes[Scoringpeptide[5],6]*Yes[Scoringpeptide[6],7]* - Yes[Scoringpeptide[7],8]*Yes[Scoringpeptide[9],10]*Yes[Scoringpeptide[10],11]*Yes[Scoringpeptide[11],12]*Yes[Scoringpeptide[12],13]* - Yes[Scoringpeptide[13],14]*Yes[Scoringpeptide[14],15]*Yes[Scoringpeptide[15],16] - YesGeneratedScores[x]<-YesScore - - # ThisKinTableScore<-ThisKinTable[as.numeric(Scoringpeptide[1]),3]*ThisKinTable[as.numeric(Scoringpeptide[2]),4]*ThisKinTable[as.numeric(Scoringpeptide[3]),5]* - # ThisKinTable[as.numeric(Scoringpeptide[4]),6]*ThisKinTable[as.numeric(Scoringpeptide[6]),8]* - # ThisKinTable[as.numeric(Scoringpeptide[7]),9]*ThisKinTable[as.numeric(Scoringpeptide[8]),10]*ThisKinTable[as.numeric(Scoringpeptide[9]),11] - # ThisKinGeneratedScores[x]<-ThisKinTableScore -} - - - -AblNorm<-1/as.numeric(Abl[22,1]) -AblThresh<-as.numeric(Abl[24,1]) -AblTrueThresh<-((AblThresh*AblNorm)/(100-AblThresh)) -AblActive<-unlist(AblGeneratedScores)>AblTrueThresh - -ArgNorm<-1/as.numeric(Arg[22,1]) -ArgThresh<-as.numeric(Arg[24,1]) -ArgTrueThresh<-((ArgThresh*ArgNorm)/(100-ArgThresh)) -ArgActive<-unlist(ArgGeneratedScores)>ArgTrueThresh - -BtkNorm<-1/as.numeric(Btk[22,1]) -BtkThresh<-as.numeric(Btk[24,1]) -BtkTrueThresh<-((BtkThresh*BtkNorm)/(100-BtkThresh)) -BtkActive<-unlist(BtkGeneratedScores)>BtkTrueThresh - -CskNorm<-1/as.numeric(Csk[22,1]) -CskThresh<-as.numeric(Csk[24,1]) -CskTrueThresh<-((CskThresh*CskNorm)/(100-CskThresh)) -CskActive<-(CskGeneratedScores)>CskTrueThresh - -FynNorm<-1/as.numeric(Fyn[22,1]) -FynThresh<-as.numeric(Fyn[24,1]) -FynTrueThresh<-((FynThresh*FynNorm)/(100-FynThresh)) -FynActive<-unlist(FynGeneratedScores)>FynTrueThresh - -HckNorm<-1/as.numeric(Hck[22,1]) -HckThresh<-as.numeric(Hck[24,1]) -HckTrueThresh<-((HckThresh*HckNorm)/(100-HckThresh)) -HckActive<-unlist(HckGeneratedScores)>HckTrueThresh - -JAK2Norm<-1/as.numeric(JAK2[22,1]) -JAK2Thresh<-as.numeric(JAK2[24,1]) -JAK2TrueThresh<-((JAK2Thresh*JAK2Norm)/(100-JAK2Thresh)) -JAk2Active<-unlist(JAK2GeneratedScores)>JAK2TrueThresh - -LckNorm<-1/as.numeric(Lck[22,1]) -LckThresh<-as.numeric(Lck[24,1]) -LckTrueThresh<-((LckThresh*LckNorm)/(100-LckThresh)) -LckActive<-unlist(LckGeneratedScores)>LckTrueThresh - -LynNorm<-1/as.numeric(Lyn[22,1]) -LynThresh<-as.numeric(Lyn[24,1]) -LynTrueThresh<-((LynThresh*LynNorm)/(100-LynThresh)) -LynActive<-unlist(LynGeneratedScores)>LynTrueThresh - -Pyk2Norm<-1/as.numeric(Pyk2[22,1]) -Pyk2Thresh<-as.numeric(Pyk2[24,1]) -Pyk2TrueThresh<-((Pyk2Thresh*Pyk2Norm)/(100-Pyk2Thresh)) -Pyk2Active<-unlist(Pyk2GeneratedScores)>Pyk2TrueThresh - -SrcNorm<-1/as.numeric(Src[22,1]) -SrcThresh<-as.numeric(Src[24,1]) -SrcTrueThresh<-((SrcThresh*SrcNorm)/(100-SrcThresh)) -SrcActive<-unlist(SrcGeneratedScores)>SrcTrueThresh - -SykNorm<-1/as.numeric(Syk[22,1]) -SykThresh<-as.numeric(Syk[24,1]) -SykTrueThresh<-((SykThresh*SykNorm)/(100-SykThresh)) -SykActive<-unlist(SykGeneratedScores)>SykTrueThresh - -YesNorm<-1/as.numeric(Yes[22,1]) -YesThresh<-as.numeric(Yes[24,1]) -YesTrueThresh<-((YesThresh*YesNorm)/(100-YesThresh)) -YesActive<-unlist(YesGeneratedScores)>YesTrueThresh - -AllActive<-AblActive+ArgActive+BtkActive+CskActive+FynActive+HckActive+JAk2Active+LckActive+LynActive+Pyk2Active+SrcActive+SykActive+YesActive -#Btkactive+ - -Scores<-ThisKinGeneratedScores -ThresholdValues<-ThisKinGenWeirdScore - -FullMotifs<-rep("Z",times=nrow(GeneratedPeptides)) -for (i in 1:nrow(GeneratedPeptides)) { - motif<-GeneratedPeptides[i,1:15] - motif<-paste(motif,sep = "", collapse = "") - FullMotifs[i]<-motif -} - -PeptidesWithRanks<-cbind.data.frame(FullMotifs,GeneratedPeptides,Scores,ThresholdValues) -PeptidesWithRanks<-cbind.data.frame(PeptidesWithRanks,AllActive,AblActive,ArgActive,BtkActive,CskActive,FynActive,HckActive,JAk2Active,LckActive,LynActive,Pyk2Active,SrcActive,SykActive,YesActive) -RanksPeptides<-PeptidesWithRanks[order(PeptidesWithRanks$AllActive,decreasing = FALSE),] -# PepRankHead<-c(1:9,"Sequence","RPMS","PMS") -# RanksPeptides<-rbind.data.frame(PepRankHead,PeptidesWithRanks) -#head(RanksPeptides) - - -#now I have to score the negative sequences... for some reason -#write up how we transfect with lipofectamine -#3,4,5 questions - -#PAUSED EHRE AT 4:50, HOPING THAT FIXING MINERVOTHING SO THAT LEFT SPACES WORKS FIXES A THING. OTHERWISE -#I FUCKED WITH THE MCC TABLE AND NEED TO FINISH IT - -ThisKinBlanks<-rep(1,times=17) -#indx <- sapply(breast, is.factor) -#ThisKinTable[indx] <- lapply(ThisKinTable[indx], function(x) as.character(x)) -ThisKinTable$SetOfAAs<-as.character(ThisKinTable$SetOfAAs) - -#ThisKinTest<-rbind.data.frame(ThisKinTable,ThisKinBlanks) -ThisKinTable<-rbind.data.frame(ThisKinTable,ThisKinBlanks) - -NegativeScores<-rep(NA,times=nrow(NegativeSubstrateList)) -NegativeWeirdScores<-rep(NA,times=nrow(NegativeSubstrateList)) -for (v in 1:nrow(NegativeSubstrateList)) { - motif<-NegativeSubstrateList[v,2] - motif<-unlist(strsplit(motif,"")) - #if (length(motif)<9){print(v)}} - # motif[1] <- sapply(motif[1], function (x) aa_props[x]) - # motif[2] <- sapply(motif[2], function (x) aa_props[x]) - # motif[3] <- sapply(motif[3], function (x) aa_props[x]) - # motif[4] <- sapply(motif[4], function (x) aa_props[x]) - # motif[5] <- sapply(motif[5], function (x) aa_props[x]) - # motif[6] <- sapply(motif[6], function (x) aa_props[x]) - # motif[7] <- sapply(motif[7], function (x) aa_props[x]) - # motif[8] <- sapply(motif[8], function (x) aa_props[x]) - # motif[9] <- sapply(motif[9], function (x) aa_props[x]) - motif<- gsub(" ","O",motif) - motif <- sapply(motif, function (x) aa_props[x]) - Scoringpeptide<-motif - Scoringpeptide<-Scoringpeptide+1 - ThisKinTableScore<-as.numeric(ThisKinTable[Scoringpeptide[1],3])*ThisKinTable[as.numeric(Scoringpeptide[2]),4]*ThisKinTable[as.numeric(Scoringpeptide[3]),5]* - ThisKinTable[as.numeric(Scoringpeptide[4]),6]*ThisKinTable[as.numeric(Scoringpeptide[5]),7]*ThisKinTable[as.numeric(Scoringpeptide[6]),8]*ThisKinTable[as.numeric(Scoringpeptide[7]),9]* - #ThisKinTable[as.numeric(Scoringpeptide[8]),10]* - ThisKinTable[as.numeric(Scoringpeptide[9]),11]*ThisKinTable[as.numeric(Scoringpeptide[10]),12]*ThisKinTable[as.numeric(Scoringpeptide[11]),13]* - ThisKinTable[as.numeric(Scoringpeptide[12]),14]*ThisKinTable[as.numeric(Scoringpeptide[13]),15]*ThisKinTable[as.numeric(Scoringpeptide[14]),16]*ThisKinTable[as.numeric(Scoringpeptide[15]),17] - NegativeScores[v]<-ThisKinTableScore - ThisKinTableScore<-(ThisKinTableScore/(ThisKinTableScore+1/as.numeric(NormalizationScore[2]))) - NegativeWeirdScores[v]<-ThisKinTableScore*100 -} - -negativesubstrates<-NegativeSubstrateList[,2] -NegativeWithScores<-cbind(negativesubstrates,as.character(NegativeScores),as.character(NegativeWeirdScores)) - - -#NEED TO HAVE THE NEGATIVE SUBSTRATES BE OUTPUTTED - -PositiveScores<-rep(NA,times=nrow(ImportedSubstrateList)) -PositiveWeirdScores<-rep(NA,times=nrow(ImportedSubstrateList)) - -for (v in 1:nrow(ImportedSubstrateList)) { - motif<-ImportedSubstrateList[v,4:18] - motif<-unlist(motif) - motif<- gsub("^$","O",motif) - motif <- sapply(motif, function (x) aa_props[x]) - Scoringpeptide<-motif - Scoringpeptide<-Scoringpeptide+1 - ThisKinTableScore<-as.numeric(ThisKinTable[Scoringpeptide[1],3])*ThisKinTable[as.numeric(Scoringpeptide[2]),4]*ThisKinTable[as.numeric(Scoringpeptide[3]),5]* - ThisKinTable[as.numeric(Scoringpeptide[4]),6]*ThisKinTable[as.numeric(Scoringpeptide[5]),7]*ThisKinTable[as.numeric(Scoringpeptide[6]),8]*ThisKinTable[as.numeric(Scoringpeptide[7]),9]* - #ThisKinTable[as.numeric(Scoringpeptide[8]),10]* - ThisKinTable[as.numeric(Scoringpeptide[9]),11]*ThisKinTable[as.numeric(Scoringpeptide[10]),12]*ThisKinTable[as.numeric(Scoringpeptide[11]),13]* - ThisKinTable[as.numeric(Scoringpeptide[12]),14]*ThisKinTable[as.numeric(Scoringpeptide[13]),15]*ThisKinTable[as.numeric(Scoringpeptide[14]),16]*ThisKinTable[as.numeric(Scoringpeptide[15]),17] - - PositiveScores[v]<-ThisKinTableScore - ThisKinTableScore<-(ThisKinTableScore/(ThisKinTableScore+1/as.numeric(NormalizationScore[2]))) - PositiveWeirdScores[v]<-ThisKinTableScore*100 -} - -positivesubstrates<-ImportedSubstrateList[,4:18] -positivewithscores<-cbind.data.frame(positivesubstrates,PositiveScores,PositiveWeirdScores) - - -#write down the transient transfection SOP and what we will be doing with them -#write down the vector names I will be using -#write down something about transforming bacteria and with what - -#90% whatevernness -# TPninetyone<-length(PositiveWeirdScores[PositiveWeirdScores>=0.91]) -# Senseninetyone<-TPninetyone/nrow(positivesubstrates) -# -# TNninetyone<-length(NegativeWeirdScores[NegativeWeirdScores<91]) -# Specninetyone<-TNninetyone/100 - -#create the MCC table - -threshold<-c(1:100) -threshold<-order(threshold,decreasing = TRUE) - -Truepositives<-c(1:100) -Falsenegatives<-c(1:100) -Sensitivity<-c(1:100) -TrueNegatives<-c(1:100) -FalsePositives<-c(1:100) -Specificity<-c(1:100) -Accuracy<-c(1:100) -MCC<-c(1:100) -EER<-c(1:100) - -#MAKE DAMN SURE THAT THE ACCESSION NUMBERS FOLLOW THE MOTIFS - -for (z in 1:100) { - thres<-101-z - Truepositives[z]<-length(PositiveWeirdScores[PositiveWeirdScores>=(thres)]) - Falsenegatives[z]<-nrow(positivesubstrates)-Truepositives[z] - Sensitivity[z]<-Truepositives[z]/(Falsenegatives[z]+Truepositives[z]) - TrueNegatives[z]<-length(NegativeWeirdScores[NegativeWeirdScores<(thres)]) -# at thresh 100 this should be 0, because it is total minus true negatives - FalsePositives[z]<-nrow(NegativeSubstrateList)-TrueNegatives[z] - Specificity[z]<-1-(TrueNegatives[z]/(FalsePositives[z]+TrueNegatives[z])) - Accuracy[z]<-100*(Truepositives[z]+TrueNegatives[z])/(Falsenegatives[z]+FalsePositives[z]+TrueNegatives[z]+Truepositives[z]) - MCC[z]<-((Truepositives[z]+TrueNegatives[z])-(Falsenegatives[z]+FalsePositives[z]))/sqrt(round(round(Truepositives[z]+Falsenegatives[z])*round(TrueNegatives[z]+FalsePositives[z])*round(Truepositives[z]+FalsePositives[z])*round(TrueNegatives[z]+Falsenegatives[z]))) - EER[z]<-.01*(((1-(Sensitivity[z]))*(Truepositives[z]+Falsenegatives[z]))+(Specificity[z]*(1-(Truepositives[z]+Falsenegatives[z])))) -} -Characterization<-cbind.data.frame(threshold,Truepositives,Falsenegatives,Sensitivity,TrueNegatives,FalsePositives,Specificity,Accuracy,MCC,EER) - -positiveheader<-c(1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,"RPMS","PMS") -positivewithscores<-rbind.data.frame(positiveheader,positivewithscores) - -negativeheader<-c("Substrate","RPMS","PMS") -colnames(NegativeWithScores)<-negativeheader - -# write.xlsx(NegativeWithScores,file = FILENAME, sheetName = "Negative Sequences Scored",col.names = TRUE,row.names = FALSE,append = TRUE) -# write.xlsx(Characterization,file = FILENAME,sheetName = "Characterization Table",col.names = TRUE,row.names = FALSE,append = TRUE) -# write.xlsx(RanksPeptides,file = FILENAME,sheetName = "Ranked Generated Peptides",col.names = FALSE,row.names = FALSE,append = TRUE) -# write.xlsx(positivewithscores,file = FILENAME, sheetName = "Positive Sequences Scored",col.names = FALSE,row.names = FALSE,append = TRUE) -write.table(x=c("Characterzation Table"),file = FILENAME2, col.names = FALSE,row.names = FALSE, append = TRUE,sep = ",") -header<-colnames(Characterization) -Characterization<-rbind.data.frame(header,Characterization) -write.table(Characterization,file = FILENAME2, col.names = FALSE,row.names = FALSE, append = TRUE,sep = ",") - -# header<-colnames(RanksPeptides) -# RanksPeptides<-rbind.data.frame(header,RanksPeptides) -write.table(RanksPeptides,file = FILENAME3,append = FALSE,row.names = FALSE,col.names = TRUE,sep = ",") - - -