Mercurial > repos > bgruening > openbabel_subsearch

annotate subsearch.py @ 3:85689710a226 draft

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/chemicaltoolbox/openbabel commit c376ab981fafb25f0c04a2a313968fa2e55f5196
author bgruening
date Sat, 20 May 2017 20:07:08 -0400
parents 98e12cc1f3a8
children 171c94786a56
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98e12cc1f3a8 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/chemicaltoolbox/openbabel commit 01da22e4184a5a6f6a3dd4631a7b9c31d1b6d502
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1 #!/usr/bin/env python
98e12cc1f3a8 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/chemicaltoolbox/openbabel commit 01da22e4184a5a6f6a3dd4631a7b9c31d1b6d502
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2 """
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3 Input: Molecules in SDF, SMILES ...
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4 Output: Moleculs filtered with specified substructures.
98e12cc1f3a8 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/chemicaltoolbox/openbabel commit 01da22e4184a5a6f6a3dd4631a7b9c31d1b6d502
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5 Copyright 2013, Bjoern Gruening and Xavier Lucas
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6 """
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7 import sys, os
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8 import argparse
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9 import openbabel
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10 openbabel.obErrorLog.StopLogging()
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11 import pybel
98e12cc1f3a8 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/chemicaltoolbox/openbabel commit 01da22e4184a5a6f6a3dd4631a7b9c31d1b6d502
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12 import multiprocessing
98e12cc1f3a8 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/chemicaltoolbox/openbabel commit 01da22e4184a5a6f6a3dd4631a7b9c31d1b6d502
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13 import tempfile
98e12cc1f3a8 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/chemicaltoolbox/openbabel commit 01da22e4184a5a6f6a3dd4631a7b9c31d1b6d502
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14 import subprocess
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15 import shutil
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16
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17 def parse_command_line():
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18 parser = argparse.ArgumentParser()
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19 parser.add_argument('-i', '--infile', required=True, help='Molecule file.')
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20 parser.add_argument('--iformat', help='Input format.')
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21 parser.add_argument('--fastsearch-index', dest="fastsearch_index",
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22 required=True, help='Path to the openbabel fastsearch index.')
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23 parser.add_argument('-o', '--outfile', required=True, help='Path to the output file.')
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24 parser.add_argument('--oformat',
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25 default='smi', help='Output file format')
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26 parser.add_argument("--max-candidates", dest="max_candidates", type=int,
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27 default=4000, help="The maximum number of candidates.")
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28 parser.add_argument('-p', '--processors', type=int,
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29 default=multiprocessing.cpu_count())
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30 return parser.parse_args()
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31
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32 results = list()
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33 def mp_callback(res):
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34 results.append(res)
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35
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36 def mp_helper( query, args ):
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37 """
98e12cc1f3a8 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/chemicaltoolbox/openbabel commit 01da22e4184a5a6f6a3dd4631a7b9c31d1b6d502
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38 Helper function for multiprocessing.
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39 That function is a wrapper around the following command:
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40 obabel file.fs -s"smarts" -Ooutfile.smi -al 999999999
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41 """
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42
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43 if args.oformat == 'names':
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44 opts = '-osmi -xt'
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45 else:
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46 opts = '-o%s' % args.oformat
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47
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48 tmp = tempfile.NamedTemporaryFile(delete=False)
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49 cmd = 'obabel -ifs %s -O %s %s -s%s -al %s' % (args.fastsearch_index, tmp.name, opts, query, args.max_candidates)
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50
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51 child = subprocess.Popen(cmd.split(),
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52 stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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53
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54 stdout, stderr = child.communicate()
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55 return_code = child.returncode
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56
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57 if return_code:
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58 sys.stdout.write(stdout)
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59 sys.stderr.write(stderr)
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60 sys.stderr.write("Return error code %i from command:\n" % return_code)
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61 sys.stderr.write("%s\n" % cmd)
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62 else:
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63 sys.stdout.write(stdout)
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64 sys.stdout.write(stderr)
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65 return (tmp.name, query)
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66
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67
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68 def get_smiles_or_smarts( args ):
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69 """
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70 Wrapper to retrieve a striped SMILES or SMARTS string from different input formats.
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71 """
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72 if args.iformat in ['smi', 'text', 'tabular']:
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73 with open( args.infile ) as text_file:
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74 for line in text_file:
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75 yield line.split('\t')[0].strip()
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76 else:
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77 # inchi or sdf files
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78 for mol in pybel.readfile( args.iformat, args.infile ):
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79 yield mol.write('smiles').split('\t')[0]
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80
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81 def substructure_search( args ):
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82
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83 pool = multiprocessing.Pool( args.processors )
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84 for query in get_smiles_or_smarts( args ):
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85 pool.apply_async(mp_helper, args=(query, args), callback=mp_callback)
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86 #mp_callback( mp_helper(query, args) )
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87 pool.close()
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88 pool.join()
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89
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90 if args.oformat == 'names':
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91 out_handle = open( args.outfile, 'w' )
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92 for result_file, query in results:
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93 with open(result_file) as res_handle:
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94 for line in res_handle:
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95 out_handle.write('%s\t%s\n' % ( line.strip(), query ))
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96 os.remove( result_file )
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97 out_handle.close()
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98 else:
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99 out_handle = open( args.outfile, 'wb' )
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100 for result_file, query in results:
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101 res_handle = open(result_file,'rb')
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102 shutil.copyfileobj( res_handle, out_handle )
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103 res_handle.close()
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104 os.remove( result_file )
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105 out_handle.close()
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106
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107
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108 def __main__():
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109 """
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110 Multiprocessing Open Babel Substructure Search.
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111 """
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112 args = parse_command_line()
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113 substructure_search( args )
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114
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115 if __name__ == "__main__" :
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116 __main__()