Mercurial > repos > bgruening > sucos_max_score
comparison sucos_max.py @ 5:d4c67ced6abc draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/chemicaltoolbox/sucos commit c35334ca80c87a5078da1a6df85b34e23b80d837"
author | bgruening |
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date | Wed, 15 Apr 2020 09:26:07 -0400 |
parents | 85fad59f8168 |
children | 9b48456a96fe |
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4:85fad59f8168 | 5:d4c67ced6abc |
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37 import sucos, utils | 37 import sucos, utils |
38 import argparse, gzip, os | 38 import argparse, gzip, os |
39 from rdkit import Chem | 39 from rdkit import Chem |
40 | 40 |
41 | 41 |
42 def process(inputfilename, clusterfilenames, outputfilename): | 42 def process(inputfilename, clusterfilenames, outputfilename, filter_value, filter_field): |
43 all_clusters = {} | 43 all_clusters = {} |
44 for filename in clusterfilenames: | 44 for filename in clusterfilenames: |
45 cluster = [] | 45 cluster = [] |
46 cluster_file = utils.open_file_for_reading(filename) | 46 cluster_file = utils.open_file_for_reading(filename) |
47 suppl = Chem.ForwardSDMolSupplier(cluster_file) | 47 suppl = Chem.ForwardSDMolSupplier(cluster_file) |
118 # utils.log("Cum SuCOS:", scores[0], "FM:", scores[1], "P:", scores[2]) | 118 # utils.log("Cum SuCOS:", scores[0], "FM:", scores[1], "P:", scores[2]) |
119 mol.SetDoubleProp("Cum_SuCOS_Score", scores_cum[0] if scores_cum[0] > 0 else 0) | 119 mol.SetDoubleProp("Cum_SuCOS_Score", scores_cum[0] if scores_cum[0] > 0 else 0) |
120 mol.SetDoubleProp("Cum_SuCOS_FeatureMap_Score", scores_cum[1] if scores_cum[1] > 0 else 0) | 120 mol.SetDoubleProp("Cum_SuCOS_FeatureMap_Score", scores_cum[1] if scores_cum[1] > 0 else 0) |
121 mol.SetDoubleProp("Cum_SuCOS_Protrude_Score", scores_cum[2] if scores_cum[2] > 0 else 0) | 121 mol.SetDoubleProp("Cum_SuCOS_Protrude_Score", scores_cum[2] if scores_cum[2] > 0 else 0) |
122 | 122 |
123 writer.write(mol) | 123 if filter_value and filter_field: |
124 if mol.HasProp(filter_field): | |
125 val = mol.GetDoubleProp(filter_field) | |
126 if val > filter_value: | |
127 writer.write(mol) | |
128 else: | |
129 writer.write(mol) | |
124 | 130 |
125 input_file.close() | 131 input_file.close() |
126 writer.flush() | 132 writer.flush() |
127 writer.close() | 133 writer.close() |
128 output_file.close() | 134 output_file.close() |
135 def main(): | 141 def main(): |
136 parser = argparse.ArgumentParser(description='Max SuCOS scores with RDKit') | 142 parser = argparse.ArgumentParser(description='Max SuCOS scores with RDKit') |
137 parser.add_argument('-i', '--input', help='Input file to score in SDF format. Can be gzipped (*.gz).') | 143 parser.add_argument('-i', '--input', help='Input file to score in SDF format. Can be gzipped (*.gz).') |
138 parser.add_argument('-o', '--output', help='Output file in SDF format. Can be gzipped (*.gz).') | 144 parser.add_argument('-o', '--output', help='Output file in SDF format. Can be gzipped (*.gz).') |
139 parser.add_argument('clusters', nargs='*', help="One or more SDF files with the clustered hits") | 145 parser.add_argument('clusters', nargs='*', help="One or more SDF files with the clustered hits") |
146 parser.add_argument('--filter-value', type=float, help='Filter out values with scores less than this.') | |
147 parser.add_argument('--filter-field', help='Field to use to filter values.') | |
140 | 148 |
141 args = parser.parse_args() | 149 args = parser.parse_args() |
142 utils.log("Max SuCOS Args: ", args) | 150 utils.log("Max SuCOS Args: ", args) |
143 | 151 |
144 process(args.input, args.clusters, args.output) | 152 process(args.input, args.clusters, args.output, args.filter_value, args.filter_field) |
145 | 153 |
146 | 154 |
147 if __name__ == "__main__": | 155 if __name__ == "__main__": |
148 main() | 156 main() |