annotate sdf_to_tab.py @ 0:759010d2e9cd draft

"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/chemicaltoolbox/rdkit commit 20df7e562341cd30e89a14d6bde9054956fadc06"
author bgruening
date Tue, 10 Mar 2020 16:55:50 +0000
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children d84dc786ccb9
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1 #!/usr/bin/env python3
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2 import argparse
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3 import pandas as pd
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4 from rdkit import Chem
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6 def sdf_to_tab(vars):
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7 mols = Chem.SDMolSupplier(vars.inp, sanitize=False)
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8 df = pd.DataFrame() # for output
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10 for n in range(len(mols)):
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11 if mols[n]:
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12 d = mols[n].GetPropsAsDict()
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13 # filter dict for desired props
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14 if vars.props.strip() == '': # none specified, return all
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15 d = {prop: val for (prop, val) in d.items() if not any(x in str(val) for x in ['\n', '\t'])} # remove items containing newlines or tabs
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16 else:
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17 d = {prop: val for (prop, val) in d.items() if prop in vars.props.replace(' ', '').split(',')} # remove items not requested via CLI
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18 if vars.name:
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19 d['Name'] = mols[n].GetProp('_Name')
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20 if vars.smiles:
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21 d['SMILES'] = Chem.MolToSmiles(mols[n], isomericSmiles=False)
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22 d['Index'] = int(n)
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24 df = df.append(d, ignore_index=True)
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25 else:
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26 print("Molecule could not be read - skipped.")
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28 df = df.astype({'Index': int}).set_index('Index')
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29 df.to_csv(vars.out, sep='\t', header=vars.header)
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31 def main():
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32 parser = argparse.ArgumentParser(description="Convert SDF to tabular")
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33 parser.add_argument('--inp', '-i', help="The input file", required=True)
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34 parser.add_argument('--out', '-o', help="The output file", required=True)
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35 parser.add_argument('--props', '-p', help="Properties to filter (leave blank for all)", required=True)
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36 parser.add_argument('--header', '-t', action='store_true',
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37 help="Write property name as the first row.")
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38 parser.add_argument('--smiles', '-s', action='store_true',
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39 help="Include SMILES in output.")
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40 parser.add_argument('--name', '-n', action='store_true',
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41 help="Include molecule name in output.")
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42 sdf_to_tab(parser.parse_args())
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45 if __name__ == "__main__":
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46 main()