comparison cheminfolib.py @ 15:50eaae9df8d3 draft default tip

planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/chemicaltoolbox/openbabel commit d9c51279c061a1da948a2582d5b502ca7573adbf

14:b249bf9be0d1

import subprocess
import sys
import tempfile
from multiprocessing import Pool


try:
    from galaxy import eggs
    eggs.require('psycopg2')
except ImportError:
    psycopg2 = None
    print('psycopg2 is not available. It is currently used in the pgchem wrappers, that are not shipped with default CTB')

try:
    from openbabel import openbabel, pybel
    openbabel.obErrorLog.StopLogging()
except ImportError:
    openbabel, pybel = None, None
    print('OpenBabel could not be found. A few functions are not available without OpenBabel.')


def CountLines(path):
    out = subprocess.Popen(['wc', '-l', path],
                           stdout=subprocess.PIPE,
                           stderr=subprocess.STDOUT
                           ).communicate()[0]
    return int(out.partition(b' ')[0])


def grep(pattern, file_obj):
    grepper = re.compile(pattern)
    for line in file_obj:

    mol = False
    possible_inchi = True
    for line_counter, line in enumerate(open(filepath)):
        if line_counter > 10000:
            break
        if line.find('$$$$') != -1:
            return 'sdf'
        elif line.find('@<TRIPOS>MOLECULE') != -1:
            return 'mol2'
        elif line.find('ligand id') != -1:
            return 'drf'
        elif possible_inchi and re.findall('^InChI=', line):
            return 'inchi'
        elif re.findall(r'^M\s+END', line):
            mol = True
        # first line is not an InChI, so it can't be an InChI file
        possible_inchi = False

    if mol:
        # END can occures before $$$$, so and SDF file will
        # be recognised as mol, if you not using this hack'
        return 'mol'
    return 'smi'


def db_connect(args):
    try:
        db_conn = psycopg2.connect("dbname=%s user=%s host=%s password=%s" % (args.dbname, args.dbuser, args.dbhost, args.dbpasswd))
        return db_conn
    except psycopg2.Error:
        sys.exit('Unable to connect to the db')


ColumnNames = {
    'can_smiles': 'Canonical SMILES',
    'can': 'Canonical SMILES',
    'inchi': 'InChI',
    'inchi_key': 'InChI key',
    'inchi_key_first': 'InChI key first',
    'inchi_key_last': 'InChI key last',
    'molwt': 'Molecular weight',
    'hbd': 'Hydrogen-bond donors',
    'donors': 'Hydrogen-bond donors',
    'hba': 'Hydrogen-bond acceptors',
    'acceptors': 'Hydrogen-bond acceptors',
    'rotbonds': 'Rotatable bonds',
    'logp': 'logP',
    'psa': 'Polar surface area',
    'mr': 'Molecular refractivity',
    'atoms': 'Number of heavy atoms',
    'rings': 'Number of rings',
    'set_bits': 'FP2 bits',
    'id': 'Internal identifier',
    'tani': 'Tanimoto coefficient',
    'spectrophore': 'Spectrophores(TM)',
    'dist_spectrophore': 'Spectrophores(TM) distance to target',
    'synonym': 'Entry id',
}

OBDescriptor = {
    'atoms': ["atoms", "Number of atoms"],
    'hatoms': ["hatoms", "Number of heavy atoms"],  # self defined tag hatoms in plugindefines.txt
    'can_smiles': ["cansmi", "Canonical SMILES"],
    'can_smilesNS': ["cansmiNS", "Canonical SMILES without isotopes or stereo"],
    # ["abonds", "Number of aromatic bonds"],
    # ["bonds", "Number of bonds"],
    # ["dbonds", "Number of double bonds"],
    # ["formula", "Chemical formula"],
    'hba': ["HBA1", "Number of Hydrogen Bond Acceptors 1 (JoelLib)"],
    'hba2': ["HBA2", "Number of Hydrogen Bond Acceptors 2 (JoelLib)"],
    'hbd': ["HBD", "Number of Hydrogen Bond Donors (JoelLib)"],
    'inchi': ["InChI", "IUPAC InChI identifier"],
    'inchi_key': ["InChIKey", "InChIKey"],
    # ["L5", "Lipinski Rule of Five"],
    'logp': ["logP", "octanol/water partition coefficient"],
    'mr': ["MR", "molar refractivity"],
    'molwt': ["MW", "Molecular Weight filter"],
    # ["nF", "Number of Fluorine Atoms"],
    # ["s", "SMARTS filter"],
    # ["sbonds", "Number of single bonds"],
    # ["smarts", "SMARTS filter"],
    # ["tbonds", "Number of triple bonds"],
    # ["title", "For comparing a molecule's title"],
    'psa': ["TPSA", "topological polar surface area"],
    'rotbonds': ['ROTATABLE_BOND', 'rotatable bonds'],
}


def print_output(args, rows):
    if args.oformat == 'table':
        outfile = open(args.output, 'w')
        requested_fields = (filter(lambda x: x not in ["[", "]", "'"], args.fetch)).split(', ')
        if args.header:
            outfile.write('Identifier\t' + '\t'.join([ColumnNames[key] for key in requested_fields]) + '\n')
        for row in rows:
            outfile.write(row['synonym'] + '\t' + '\t'.join([str(row[key]) for key in requested_fields]) + '\n')

    elif args.oformat in ['sdf', 'mol2']:
        outfile = pybel.Outputfile(args.oformat, args.output, overwrite=True)
        for row in rows:
            try:
                mol = pybel.readstring('sdf', row['mol'])
                if args.oformat == 'sdf':
                    keys = filter(lambda x: x not in ["[", "]", "'"], args.fetch).split(', ')
                    mol.data.update({ColumnNames['synonym']: row['synonym']})
                    if 'inchi_key' in keys:
                        keys = (', '.join(keys).replace("inchi_key", "inchi_key_first, inchi_key_last")).split(', ')
                    [mol.data.update({ColumnNames[key]: row[key]}) for key in keys if key]
                outfile.write(mol)
            except OSError:
                pass
    else:
        outfile = open(args.output, 'w')
        outfile.write('\n'.join(['%s\t%s' % (row[args.oformat], row['synonym']) for row in rows]))
    outfile.close()


def pybel_stop_logging():
    openbabel.obErrorLog.StopLogging()


def get_properties_ext(mol):
    HBD = pybel.Smarts("[!#6;!H0]")
    HBA = pybel.Smarts(("[$([$([#8,#16]);!$(*=N~O);"
                        "!$(*~N=O);X1,X2]),$([#7;v3;"
                        "!$([nH]);!$(*(-a)-a)])]"
                        ))
    calc_desc_dict = mol.calcdesc()

    try:
        logp = calc_desc_dict['logP']
    except KeyError:
        logp = calc_desc_dict['LogP']

    return {"molwt": mol.molwt,
            "logp": logp,
            "donors": len(HBD.findall(mol)),
            "acceptors": len(HBA.findall(mol)),
            "psa": calc_desc_dict['TPSA'],
            "mr": calc_desc_dict['MR'],
            "rotbonds": mol.OBMol.NumRotors(),
            "can": mol.write("can").split()[0].strip(),  # tthis one works fine for both zinc and chembl (no ZINC code added after can descriptor string)
            "inchi": mol.write("inchi").strip(),
            "inchi_key": get_inchikey(mol).strip(),
            "rings": len(mol.sssr),
            "atoms": mol.OBMol.NumHvyAtoms(),
            "spectrophore": OBspectrophore(mol),
            }


def get_inchikey(mol):
    conv = openbabel.OBConversion()
    conv.SetInAndOutFormats("mol", "inchi")

def OBspectrophore(mol):
    spectrophore = pybel.ob.OBSpectrophore()
    # Parameters: rotation angle = 20, normalization for mean and sd, accuracy = 3.0 A and non-stereospecific cages.
    spectrophore.SetNormalization(spectrophore.NormalizationTowardsZeroMeanAndUnitStd)
    return ', '.join(["%.3f" % value for value in spectrophore.GetSpectrophore(mol.OBMol)])


def split_library(lib_path, lib_format='sdf', package_size=None):
    """
    Split a library of compounds. Usage: split_library(lib_path, lib_format, package_size)
    IT currently ONLY WORKS FOR SD-Files
    """
    pack = 1
    mol_counter = 0

    outfile = open('/%s/%s_pack_%i.%s' % ('/'.join(lib_path.split('/')[:-1]), lib_path.split('/')[-1].split('.')[0], pack, 'sdf'), 'w')

    for line in open(lib_path, 'r'):
        outfile.write(line)
        if line.strip() == '$$$$':
            mol_counter += 1
            if mol_counter % package_size == 0:
                outfile.close()
                pack += 1
                outfile = open('/%s/%s_pack_%i.%s' % ('/'.join(lib_path.split('/')[:-1]), lib_path.split('/')[-1].split('.')[0], pack, 'sdf'), 'w')
                if mol_counter * 10 % package_size == 0:
                    print('%i molecules parsed, starting pack nr. %i' % (mol_counter, pack - 1))
    outfile.close()

    return True

    Usage: split_smi_library(smiles_file, 10)
    """
    output_files = []
    tfile = tempfile.NamedTemporaryFile(delete=False)

    smiles_handle = open(smiles_file, 'r')
    for count, line in enumerate(smiles_handle):
        if count % structures_in_one_file == 0 and count != 0:
            tfile.close()
            output_files.append(tfile.name)
            tfile = tempfile.NamedTemporaryFile(delete=False)

    return output_files


def mp_run(input_path, regex, PROCESSES, function_to_call):
    paths = []
    [paths.append(compound_file) for compound_file in glob.glob(str(input_path) + str(regex))]
    paths.sort()

    pool = Pool(processes=PROCESSES)
    print('Process initialized with', PROCESSES, 'processors')
    result = pool.map_async(function_to_call, paths)
    result.get()

    return paths


if __name__ == '__main__':
    print(check_filetype(sys.argv[1]))

15:50eaae9df8d3

import subprocess
import sys
import tempfile
from multiprocessing import Pool

try:
    from galaxy import eggs

    eggs.require("psycopg2")
except ImportError:
    psycopg2 = None
    print(
        "psycopg2 is not available. It is currently used in the pgchem wrappers, that are not shipped with default CTB"
    )

try:
    from openbabel import openbabel, pybel

    openbabel.obErrorLog.StopLogging()
except ImportError:
    openbabel, pybel = None, None
    print(
        "OpenBabel could not be found. A few functions are not available without OpenBabel."
    )


def CountLines(path):
    out = subprocess.Popen(
        ["wc", "-l", path], stdout=subprocess.PIPE, stderr=subprocess.STDOUT
    ).communicate()[0]
    return int(out.partition(b" ")[0])


def grep(pattern, file_obj):
    grepper = re.compile(pattern)
    for line in file_obj:

    mol = False
    possible_inchi = True
    for line_counter, line in enumerate(open(filepath)):
        if line_counter > 10000:
            break
        if line.find("$$$$") != -1:
            return "sdf"
        elif line.find("@<TRIPOS>MOLECULE") != -1:
            return "mol2"
        elif line.find("ligand id") != -1:
            return "drf"
        elif possible_inchi and re.findall("^InChI=", line):
            return "inchi"
        elif re.findall(r"^M\s+END", line):
            mol = True
        # first line is not an InChI, so it can't be an InChI file
        possible_inchi = False

    if mol:
        # END can occures before $$$$, so and SDF file will
        # be recognised as mol, if you not using this hack'
        return "mol"
    return "smi"


def db_connect(args):
    try:
        db_conn = psycopg2.connect(
            "dbname=%s user=%s host=%s password=%s"
            % (args.dbname, args.dbuser, args.dbhost, args.dbpasswd)
        )
        return db_conn
    except psycopg2.Error:
        sys.exit("Unable to connect to the db")


ColumnNames = {
    "can_smiles": "Canonical SMILES",
    "can": "Canonical SMILES",
    "inchi": "InChI",
    "inchi_key": "InChI key",
    "inchi_key_first": "InChI key first",
    "inchi_key_last": "InChI key last",
    "molwt": "Molecular weight",
    "hbd": "Hydrogen-bond donors",
    "donors": "Hydrogen-bond donors",
    "hba": "Hydrogen-bond acceptors",
    "acceptors": "Hydrogen-bond acceptors",
    "rotbonds": "Rotatable bonds",
    "logp": "logP",
    "psa": "Polar surface area",
    "mr": "Molecular refractivity",
    "atoms": "Number of heavy atoms",
    "rings": "Number of rings",
    "set_bits": "FP2 bits",
    "id": "Internal identifier",
    "tani": "Tanimoto coefficient",
    "spectrophore": "Spectrophores(TM)",
    "dist_spectrophore": "Spectrophores(TM) distance to target",
    "synonym": "Entry id",
}

OBDescriptor = {
    "atoms": ["atoms", "Number of atoms"],
    "hatoms": [
        "hatoms",
        "Number of heavy atoms",
    ],  # self defined tag hatoms in plugindefines.txt
    "can_smiles": ["cansmi", "Canonical SMILES"],
    "can_smilesNS": ["cansmiNS", "Canonical SMILES without isotopes or stereo"],
    # ["abonds", "Number of aromatic bonds"],
    # ["bonds", "Number of bonds"],
    # ["dbonds", "Number of double bonds"],
    # ["formula", "Chemical formula"],
    "hba": ["HBA1", "Number of Hydrogen Bond Acceptors 1 (JoelLib)"],
    "hba2": ["HBA2", "Number of Hydrogen Bond Acceptors 2 (JoelLib)"],
    "hbd": ["HBD", "Number of Hydrogen Bond Donors (JoelLib)"],
    "inchi": ["InChI", "IUPAC InChI identifier"],
    "inchi_key": ["InChIKey", "InChIKey"],
    # ["L5", "Lipinski Rule of Five"],
    "logp": ["logP", "octanol/water partition coefficient"],
    "mr": ["MR", "molar refractivity"],
    "molwt": ["MW", "Molecular Weight filter"],
    # ["nF", "Number of Fluorine Atoms"],
    # ["s", "SMARTS filter"],
    # ["sbonds", "Number of single bonds"],
    # ["smarts", "SMARTS filter"],
    # ["tbonds", "Number of triple bonds"],
    # ["title", "For comparing a molecule's title"],
    "psa": ["TPSA", "topological polar surface area"],
    "rotbonds": ["ROTATABLE_BOND", "rotatable bonds"],
}


def print_output(args, rows):
    if args.oformat == "table":
        outfile = open(args.output, "w")
        requested_fields = (
            filter(lambda x: x not in ["[", "]", "'"], args.fetch)
        ).split(", ")
        if args.header:
            outfile.write(
                "Identifier\t"
                + "\t".join([ColumnNames[key] for key in requested_fields])
                + "\n"
            )
        for row in rows:
            outfile.write(
                row["synonym"]
                + "\t"
                + "\t".join([str(row[key]) for key in requested_fields])
                + "\n"
            )

    elif args.oformat in ["sdf", "mol2"]:
        outfile = pybel.Outputfile(args.oformat, args.output, overwrite=True)
        for row in rows:
            try:
                mol = pybel.readstring("sdf", row["mol"])
                if args.oformat == "sdf":
                    keys = filter(lambda x: x not in ["[", "]", "'"], args.fetch).split(
                        ", "
                    )
                    mol.data.update({ColumnNames["synonym"]: row["synonym"]})
                    if "inchi_key" in keys:
                        keys = (
                            ", ".join(keys).replace(
                                "inchi_key", "inchi_key_first, inchi_key_last"
                            )
                        ).split(", ")
                    [
                        mol.data.update({ColumnNames[key]: row[key]})
                        for key in keys
                        if key
                    ]
                outfile.write(mol)
            except OSError:
                pass
    else:
        outfile = open(args.output, "w")
        outfile.write(
            "\n".join(["%s\t%s" % (row[args.oformat], row["synonym"]) for row in rows])
        )
    outfile.close()


def pybel_stop_logging():
    openbabel.obErrorLog.StopLogging()


def get_properties_ext(mol):
    HBD = pybel.Smarts("[!#6;!H0]")
    HBA = pybel.Smarts(
        (
            "[$([$([#8,#16]);!$(*=N~O);"
            "!$(*~N=O);X1,X2]),$([#7;v3;"
            "!$([nH]);!$(*(-a)-a)])]"
        )
    )
    calc_desc_dict = mol.calcdesc()

    try:
        logp = calc_desc_dict["logP"]
    except KeyError:
        logp = calc_desc_dict["LogP"]

    return {
        "molwt": mol.molwt,
        "logp": logp,
        "donors": len(HBD.findall(mol)),
        "acceptors": len(HBA.findall(mol)),
        "psa": calc_desc_dict["TPSA"],
        "mr": calc_desc_dict["MR"],
        "rotbonds": mol.OBMol.NumRotors(),
        "can": mol.write("can")
        .split()[0]
        .strip(),  # tthis one works fine for both zinc and chembl (no ZINC code added after can descriptor string)
        "inchi": mol.write("inchi").strip(),
        "inchi_key": get_inchikey(mol).strip(),
        "rings": len(mol.sssr),
        "atoms": mol.OBMol.NumHvyAtoms(),
        "spectrophore": OBspectrophore(mol),
    }


def get_inchikey(mol):
    conv = openbabel.OBConversion()
    conv.SetInAndOutFormats("mol", "inchi")

def OBspectrophore(mol):
    spectrophore = pybel.ob.OBSpectrophore()
    # Parameters: rotation angle = 20, normalization for mean and sd, accuracy = 3.0 A and non-stereospecific cages.
    spectrophore.SetNormalization(spectrophore.NormalizationTowardsZeroMeanAndUnitStd)
    return ", ".join(
        ["%.3f" % value for value in spectrophore.GetSpectrophore(mol.OBMol)]
    )


def split_library(lib_path, lib_format="sdf", package_size=None):
    """
    Split a library of compounds. Usage: split_library(lib_path, lib_format, package_size)
    IT currently ONLY WORKS FOR SD-Files
    """
    pack = 1
    mol_counter = 0

    outfile = open(
        "/%s/%s_pack_%i.%s"
        % (
            "/".join(lib_path.split("/")[:-1]),
            lib_path.split("/")[-1].split(".")[0],
            pack,
            "sdf",
        ),
        "w",
    )

    for line in open(lib_path, "r"):
        outfile.write(line)
        if line.strip() == "$$$$":
            mol_counter += 1
            if mol_counter % package_size == 0:
                outfile.close()
                pack += 1
                outfile = open(
                    "/%s/%s_pack_%i.%s"
                    % (
                        "/".join(lib_path.split("/")[:-1]),
                        lib_path.split("/")[-1].split(".")[0],
                        pack,
                        "sdf",
                    ),
                    "w",
                )
                if mol_counter * 10 % package_size == 0:
                    print(
                        "%i molecules parsed, starting pack nr. %i"
                        % (mol_counter, pack - 1)
                    )
    outfile.close()

    return True

    Usage: split_smi_library(smiles_file, 10)
    """
    output_files = []
    tfile = tempfile.NamedTemporaryFile(delete=False)

    smiles_handle = open(smiles_file, "r")
    for count, line in enumerate(smiles_handle):
        if count % structures_in_one_file == 0 and count != 0:
            tfile.close()
            output_files.append(tfile.name)
            tfile = tempfile.NamedTemporaryFile(delete=False)

    return output_files


def mp_run(input_path, regex, PROCESSES, function_to_call):
    paths = []
    [
        paths.append(compound_file)
        for compound_file in glob.glob(str(input_path) + str(regex))
    ]
    paths.sort()

    pool = Pool(processes=PROCESSES)
    print("Process initialized with", PROCESSES, "processors")
    result = pool.map_async(function_to_call, paths)
    result.get()

    return paths


if __name__ == "__main__":
    print(check_filetype(sys.argv[1]))