Mercurial > repos > bgruening > openbabel_structure_distance_finder
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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/chemicaltoolbox/openbabel commit d9c51279c061a1da948a2582d5b502ca7573adbf
author | bgruening |
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date | Thu, 15 Aug 2024 11:01:11 +0000 |
parents | 4c9d6b47045c |
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<tool id="openbabel_structure_distance_finder" name="Determine distance to defined points" version="@TOOL_VERSION@+galaxy@GALAXY_VERSION@"> <description>- determine the minimum distances between a molecule and a set of 3D points</description> <macros> <import>macros.xml</import> <token name="@GALAXY_VERSION@">0</token> </macros> <expand macro="requirements"/> <command detect_errors="exit_code"><![CDATA[ python '$__tool_directory__/distance_finder.py' -i '$input' -p $points_file -o '$output' ]]></command> <configfiles> <configfile name="points_file">$points</configfile> </configfiles> <inputs> <param type="data" name="input" format="sdf" label="Ligands to be analysed" help="Input in SDF format" /> <param type="text" name="points" area="true" label="3D points to consider" help="Points as X, Y, Z coordinates, one point per line"> <sanitizer invalid_char=""> <valid initial="string.printable"> <remove value="'" /> </valid> </sanitizer> </param> </inputs> <outputs> <data format="sdf" name="output" label="The measured ligands"/> </outputs> <tests> <test> <param name="input" ftype="sdf" value="ligands.sdf"/> <!-- TODO - work out how to specify multi-line text --> <param name="points" value="5.655 1.497 18.223" /> <output name="output" ftype="sdf"> <assert_contents> <has_text text="distance1" /> </assert_contents> </output> </test> </tests> <help><![CDATA[ .. class:: infomark **What it does** This tool reports distances of ligands to reference points provided as atoms in a PDB file. It is useful for finding out to what extent a ligand occupies an active site. .. class:: infomark **Input** An SD-file containing 3D molecules. The points parameter contains the points to compare to as X, Y and Z coordinates, one point per line. An example is: 5.655 1.497 18.223 1.494 -8.367 18.574 13.034 6.306 25.232 This would encode 3 points. Each record in the SDF input is read and the closest heavy atom to each of the points is recorded as properties in the output SDF. .. class:: infomark **Output** The same SD file as the input but with a series of "distance?" properties added where ? is the index of the points being compared to. In the example there would be properties for distance1, distance2 and distance3. ]]></help> <expand macro="citations"/> </tool>