218 lines
6.8 KiB
Python
Executable file
218 lines
6.8 KiB
Python
Executable file
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Created on Tue Apr 7 09:30:16 2020
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@author: tanu
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"""
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#=======================================================================
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# TASK:
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#=======================================================================
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#%% load packages
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import sys, os
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import argparse
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import re
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import pandas as pd
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from Bio.PDB import PDBParser
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from Bio.PDB.DSSP import DSSP
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import dms_tools2
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import dms_tools2.dssp
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import pprint as pp
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#=======================================================================
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#%% specify homedir and curr dir
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homedir = os.path.expanduser('~')
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# set working dir
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os.getcwd()
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os.chdir(homedir + '/git/LSHTM_analysis/scripts')
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os.getcwd()
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#=======================================================================
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#%% command line args
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arg_parser = argparse.ArgumentParser()
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#arg_parser.add_argument('-d', '--drug', help='drug name', default = 'pyrazinamide')
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#arg_parser.add_argument('-g', '--gene', help='gene name', default = 'pncA') # case sensitive
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arg_parser.add_argument('-d', '--drug', help='drug name', default = 'TESTDRUG')
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arg_parser.add_argument('-g', '--gene', help='gene name (case sensitive)', default = 'testGene') # case sensitive
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args = arg_parser.parse_args()
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#=======================================================================
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#%% variable assignment: input and output
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#drug = 'pyrazinamide'
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#gene = 'pncA'
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#gene_match = gene + '_p.'
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#drug = 'isoniazid'
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#gene = 'katG'
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#drug = 'cycloserine'
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#gene = 'alr'
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drug = args.drug
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gene = args.gene
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#==========
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# data dir
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#==========
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#indir = 'git/Data/pyrazinamide/input/original'
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datadir = homedir + '/' + 'git/Data'
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#=======
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# input
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#=======
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#indir = datadir + '/' + drug + '/' + 'output'
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indir = datadir + '/' + drug + '/' + 'input'
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in_filename = gene.lower() + '_complex' + '.pdb'
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#in_filename = 'katg_complex.pdb' # fixme for pnca(consistent filenames i.e pnca_complex.pdb)
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infile = indir + '/' + in_filename
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#=======
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# output
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#=======
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outdir = datadir + '/' + drug + '/' + 'output'
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print('Output path:', outdir)
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#out_filename = os.path.splitext(in_filename)[0]+'.dssp' # strip file ext
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dssp_filename = gene.lower() + '.dssp'
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dssp_file = outdir + '/' + dssp_filename
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print('Output dssp:', dssp_file)
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dsspcsv_filename = gene.lower() + '_dssp.csv'
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dsspcsv_file = outdir + '/' + dsspcsv_filename
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print('Outfile dssp to csv: ', dsspcsv_file
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, '\n=============================================================')
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#%% end of variable assignment for input and output files
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#=======================================================================
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#%% create .dssp from pdb
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def dssp_file_from_pdb(inputpdbfile, outfile, DSSP = "dssp"):
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"""
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Create a DSSP file from a PDB file
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@param inputpdbfile: pdb file
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@type inputpdbfile: string
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@param outfile: dssp file
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@type outfile: string
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@param DSSP: DSSP executable (argument to os.system)
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@type DSSP: string
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@return: none, creates dssp file
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"""
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# out_file = infile +'.dssp'
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# outfile = os.path.splitext(inputpdbfile)[0]+'.dssp' # strip file ext
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os.system("%s -i %s -o %s" % (DSSP, inputpdbfile, outfile))
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#=======================================================================
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#%% extract chain id from dssp
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#print(dssp.keys())
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#print(dssp.keys()[0][0])
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#print(len(dssp))
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#print(dssp.keys()[0][0])
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#print(dssp.keys()[len(dssp)-1][0])
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def extract_chain_dssp(inputpdbfile):
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"""
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extracts chain_ids from dssp run on pdb file
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This is to allow processing of dssp output to df
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and for writing as csv file
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Parameters
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----------
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@param inputpdbfile: pdb file
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@type inputpdbfile: string
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Returns
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-------
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@return: chain_ids from running dssp on pdb file
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@type list
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"""
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p = PDBParser()
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structure = p.get_structure(in_filename, infile)
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model = structure[0]
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dssp = DSSP(model, infile)
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dssp_chains = []
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for num_aa in range(0, len(dssp)):
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# print(num_aa)
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# extract the chain id only and append to a list
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dssp_chains.append(dssp.keys()[num_aa][0])
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chainsL = list(set(dssp_chains))
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print(chainsL)
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# sort the list (since sets are not ordered) for convenience
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# this will be required for dssp_df
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pdbchainlist = sorted(chainsL)
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print('dssp output for'
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, in_filename, 'contains:', len(pdbchainlist)
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, 'chains:\n', pdbchainlist)
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return pdbchainlist
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#=======================================================================
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#%% write csv of processed dssp output
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def dssp_to_csv(inputdsspfile, outfile, pdbchainlist):
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"""
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Create a df from a dssp file containing ASA, RSA, SS for all chains
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@param infile: dssp file
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@type infile: string
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@param outfile: csv file
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@type outfile: string
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@param DSSP: DSSP to df processing using dmstools
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@type DSSP: string
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@return: none, creates csv file
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"""
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dssp_df = pd.DataFrame()
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print('Total no. of chains: ', len(pdbchainlist))
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for chain_id in pdbchainlist:
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print('Chain id:', chain_id)
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dssp_cur = pd.DataFrame()
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dssp_cur = dms_tools2.dssp.processDSSP(inputdsspfile, chain = chain_id)
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#!!!Important!!!
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dssp_cur['chain_id'] = chain_id
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dssp_df = dssp_df.append(dssp_cur)
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pp.pprint(dssp_df)
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# Rename column (amino acid) as 'wild_type' and (site} as 'position'
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# to be the same names as used in the file required for merging later.
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dssp_df.columns
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dssp_df.rename(columns = {'site':'position', 'amino_acid':'wild_type_dssp'}, inplace = True)
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dssp_df.columns
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# sanity check
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# if len(dssp_df) == len(dssp):
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# print('PASS: length of dssp_df has correct length')
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# else:
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# print('FAIL: length mismatch for dssp_df'
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# , '\nexpected length:', len(dssp)
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# , '\nGot length:', len(dssp_df)
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# , 'Debug please!')
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# write to csv
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dssp_df.to_csv(outfile, header=True, index = False)
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print('Finished writing:', outfile
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, '\nNo. of rows:', len(dssp_df)
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, '\nNo. of cols:', len(dssp_df.columns)
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, '\n==============================================================')
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#=======================================================================
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#%% call functions
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#dssp_file_from_pdb(infile, dssp_file, DSSP = "dssp")
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#my_chains = extract_chain_dssp(infile)
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#dssp_to_csv(dssp_file, dsspcsv_file, my_chains)
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#%%
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#=======================================================================
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def main():
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print('Running dssp with the following params:\n'
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, in_filename
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, 'outfile:', dsspcsv_filename)
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dssp_file_from_pdb(infile, dssp_file, DSSP = "dssp")
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my_chains = extract_chain_dssp(infile)
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dssp_to_csv(dssp_file, dsspcsv_file, my_chains)
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if __name__ == '__main__':
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main()
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#%% end of script
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#=======================================================================
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#=======================================================================
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