| from mpi4py import MPI | |
| from mpi4py.futures import MPICommExecutor | |
| from Bio.PDB import PDBParser, PPBuilder | |
| import warnings | |
| import gzip | |
| import tempfile | |
| import os | |
| from rdkit import Chem | |
| import pandas as pd | |
| def open_ligands(fn): | |
| with tempfile.NamedTemporaryFile(mode='w+b',delete=False) as f: | |
| with gzip.open(fn,'rb') as g: | |
| f.write(g.read()) | |
| name = f.name | |
| suppl = Chem.SDMolSupplier(name) | |
| os.unlink(name) | |
| return suppl | |
| def get_ligands(path): | |
| try: | |
| parser = PDBParser() | |
| with warnings.catch_warnings(): | |
| warnings.simplefilter("ignore") | |
| structure = parser.get_structure('protein',path+'/receptor.pdb') | |
| ppb = PPBuilder() | |
| seq = [] | |
| for pp in ppb.build_peptides(structure): | |
| seq.append(str(pp.get_sequence())) | |
| seq = ''.join(seq) | |
| name = os.path.basename(path) | |
| decoys = open_ligands(path+'/decoys_final.sdf.gz') | |
| actives = open_ligands(path+'/actives_final.sdf.gz') | |
| actives_smiles = [] | |
| for m in actives: | |
| try: | |
| actives_smiles.append(Chem.MolToSmiles(m)) | |
| except: | |
| pass | |
| decoys_smiles = [] | |
| for m in decoys: | |
| try: | |
| decoys_smiles.append(Chem.MolToSmiles(m)) | |
| except: | |
| pass | |
| all_smiles = actives_smiles + decoys_smiles | |
| all_active = [True]*len(actives_smiles) + [False]*len(decoys_smiles) | |
| names = [name]*len(all_active) | |
| seqs = [seq]*len(all_active) | |
| df = pd.DataFrame({'name': names, 'seq': seqs, 'smiles': all_smiles, 'active': all_active}) | |
| df.to_parquet(path+'/ligands.parquet') | |
| except Exception as e: | |
| print(e) | |
| pass | |
| if __name__ == '__main__': | |
| import glob | |
| filenames = glob.glob('DUDE/all/*') | |
| comm = MPI.COMM_WORLD | |
| with MPICommExecutor(comm, root=0) as executor: | |
| if executor is not None: | |
| executor.map(get_ligands, filenames) | |