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#!/usr/bin/env python3
"""
Created on Mon Jun 15 21:49:32 2015
@author: Harald Voehringer
"""
from __future__ import print_function
import sys, os, glob, gzip, textwrap, itertools
from optparse import OptionParser
from collections import defaultdict
from os.path import splitext
from pdbx.reader.PdbxReader import PdbxReader
from multiprocessing import Pool
DEBUG_MODE = False
MIN_SEQ_LEN = None
SCOP_LIBRARY = False
THREE2ONE = {
'CYS': 'C', 'ASP': 'D', 'SER': 'S', 'GLN': 'Q', 'LYS': 'K', 'ILE': 'I', 'PRO': 'P',
'THR': 'T', 'PHE': 'F', 'ASN': 'N', 'GLY': 'G', 'HIS': 'H', 'LEU': 'L', 'ARG': 'R',
'TRP': 'W', 'ALA': 'A', 'VAL': 'V', 'GLU': 'E', 'TYR': 'Y', 'MET': 'M', 'MSE': 'M',
'HYP': 'P', 'MLY': 'K', 'SEP': 'S', 'TPO': 'T', 'CSO': 'C', 'PTR': 'Y', 'KCX': 'K',
'CME': 'C', 'CSD': 'A', 'CAS': 'C', 'MLE': 'L', 'DAL': 'A', 'CGU': 'E', 'DLE': 'L',
'FME': 'M', 'DVA': 'V', 'OCS': 'C', 'DPR': 'P', 'MVA': 'V', 'TYS': 'Y', 'M3L': 'K',
'SMC': 'C', 'ALY': 'K', 'CSX': 'C', 'DCY': 'C', 'NLE': 'L', 'DGL': 'E', 'DSN': 'S',
'CSS': 'C', 'DLY': 'K', 'MLZ': 'K', 'DPN': 'F', 'DAR': 'R', 'PHI': 'F', 'IAS': 'D',
'DAS': 'D', 'HIC': 'H', 'MP8': 'P', 'DTH': 'T', 'DIL': 'I', 'MEN': 'N', 'DTY': 'Y',
'CXM': 'M', 'DGN': 'G', 'DTR': 'W', 'SAC': 'S', 'DSG': 'N', 'MME': 'M', 'MAA': 'A',
'YOF': 'Y', 'FP9': 'P', 'FVA': 'V', 'MLU': 'L', 'OMY': 'Y', 'FGA': 'E', 'MEA': 'F',
'CMH': 'C', 'DHI': 'H', 'SEC': 'C', 'OMZ': 'Y', 'SCY': 'C', 'MHO': 'M', 'MED': 'M',
'CAF': 'C', 'NIY': 'Y', 'OAS': 'S', 'SCH': 'C', 'MK8': 'L', 'SME': 'M', 'LYZ': 'K'
}
CANONICAL_RESIDUES = set(['A', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'K', 'L', 'M', 'N', 'P',
'Q', 'R', 'S', 'T', 'V', 'W', 'Y'])
class CIF2FASTA(object):
def __init__(self, cif_path):
self.cif_path = cif_path
self.block = self.open_cif()
def open_cif(self):
""" Assumes a mmCIF or gzipped mmCIF file and returns a data block used for subsequent procedures. """
# The "usual" procedure to open a mmCIF with pdbX/mmCIF
data = []
try:
with gzip.open(self.cif_path) as cif_fh:
reader = PdbxReader(cif_fh)
reader.read(data)
except IOError:
with open(self.cif_path) as cif_fh:
reader = PdbxReader(cif_fh)
reader.read(data)
if len(data) == 0:
return None
else:
return data[0]
def is_valid(self):
return self.block is not None
def chain_to_seq(self):
"""Extracts the sequence of the cif from entity_poly.pdbx_seq_one_letter_code"""
cif_chain_to_seq = dict()
non_polypeptide_chains = list()
try:
entity_poly = self.block.getObj('entity_poly')
except AttributeError:
if DEBUG_MODE > 0:
print ('! {pdb} Could not extract entity_poly table.'.format(
pdb = self.pdb_entry()))
return False
try:
total_rows = entity_poly.getRowCount()
except AttributeError:
print ('! {pdb} Could not extract rows from entity_poly.'.format(
pdb = self.pdb_entry()))
return False
for row in range(0, total_rows):
if entity_poly.getValue('type', row) == 'polypeptide(L)':
seq = entity_poly.getValue('pdbx_seq_one_letter_code', row)
parsed_seq = parse_seq(seq) # removes special amino acids and newlines
try:
chains = entity_poly.getValue('pdbx_strand_id', row)
except ValueError:
if total_rows == 1:
print ('! {pdb} Only one polypeptide chain, but no chain identifiers, setting it to ".".'.format(
pdb = self.pdb_entry()))
cif_chain_to_seq['.'] = parsed_seq
return cif_chain_to_seq
print ('! {pdb} Could not extract pdbx_strand_id from entity_poly table (polypeptide).'.format(
pdb = self.pdb_entry()))
return False
chain_list = chains.split(',')
for chain in chain_list:
cif_chain_to_seq[chain] = parsed_seq
else:
try:
chains = entity_poly.getValue('pdbx_strand_id', row)
except ValueError:
print ('! {pdb} Could not extract pdbx_strand_id from entity_poly table (non-polypeptide).'.format(
pdb = self.pdb_entry()))
return False
non_polypeptide_chains.append(chains)
chains = list(cif_chain_to_seq.keys())
# remove chains that contain only unknown residues
for chain in chains:
# this is a very odd way to check whether a string contains only a single char
tmp_set = set(cif_chain_to_seq[chain])
if len(tmp_set) == 1 and 'X' in tmp_set:
print ('! Removing {pdb}_{chain} (contains only unknown residues).'.format(
pdb = self.pdb_entry(),
chain = chain))
del cif_chain_to_seq[chain]
continue
if len(cif_chain_to_seq[chain]) < MIN_SEQ_LEN:
print ('! Removing {pdb}_{chain} (sequence length < {min_len}).'.format(
pdb = self.pdb_entry(),
chain = chain,
min_len = MIN_SEQ_LEN))
del cif_chain_to_seq[chain]
if len(cif_chain_to_seq) != 0:
if DEBUG_MODE > 1:
print ('- Extracted chains of {pdb} {chains}.'.format(
pdb = self.pdb_entry(),
chains = ' '.join( str(chain) + ' (' + str(len(cif_chain_to_seq[chain])) + ')' for chain in cif_chain_to_seq.keys())))
if len(non_polypeptide_chains) != 0:
print ('- Following chains were non polypeptide chains {chains} no polypeptide chains were found.'.format(
chains = ', '.join(non_polypeptide_chains)))
return cif_chain_to_seq
else:
if DEBUG_MODE > 0:
print ('! {pdb} No polypeptide chains were found.'.format(
pdb = self.pdb_entry()))
return False
def chain_ratios(self, chain_to_seq):
""" Tries to extract Sequence from the atom section """
# chain_to_seq = self.chain_to_seq()
if chain_to_seq != False:
chain_ratios = dict()
# compute the lengths of sequences found in _entity_poly
entity_length = { chain : float(len(seq)) for chain, seq in chain_to_seq.items() }
entity_chains = entity_length.keys()
# load the atomsite and set up dictionary to keep track of sequences
atom_site = self.block.getObj('atom_site')
atom_seq = defaultdict(str)
current_residue = 0
# Iterate through the atomsection of the cif file
for atom_row in range(0, atom_site.getRowCount()):
# NMR structures contain many confomers
try:
model_num = int(atom_site.getValue('pdbx_PDB_model_num', atom_row))
except ValueError:
model_num = 1
if model_num > 1:
continue
atom_chain = atom_site.getValue('label_asym_id', atom_row)
# get the alternative chain identifier too
try:
alt_chain = atom_site.getValue('auth_asym_id', atom_row)
except ValueError:
alt_chain = None
# handle cases where there are no chains but only one structure
if atom_chain == '.' and entity_chains[0] == '.':
atom_chain = '.'
# get the residue and the residue number
try:
res_num = int(atom_site.getValue("label_seq_id", atom_row))
except ValueError:
continue
if res_num != current_residue:
residue = atom_site.getValue('label_comp_id', atom_row)
try:
residue = THREE2ONE[residue]
except KeyError:
residue = 'X'
# try to get the chain identifier from alt_chain first, if this does not work use label_asym_id
if alt_chain is not None:
atom_seq[alt_chain] += residue
# sometimes we find the right chain identifier not in the alt_chain
if not (atom_chain in atom_seq.keys()) and atom_chain is not None:
atom_seq[atom_chain] += residue
current_residue = res_num
for chain in entity_length.keys():
if chain in atom_seq.keys():
chain_ratios[chain] = len(atom_seq[chain]) / entity_length[chain]
else:
chain_ratios[chain] = 0
return chain_ratios
else:
return False
def pdb_entry(self):
"""Extracts the PDB entry information of a cif file."""
try:
entry = self.block.getObj('entry')
entry_id = entry.getValue('id')
return entry_id.replace('\n', ' ')
except AttributeError:
if DEBUG_MODE > 0:
print ('! {pdb} Could not extract id from entry.'.format(
pdb = self.pdb_entry()))
def protein_description(self):
"""Extracts the protein description annotated in struct.pdbx_descriptor of the cif file."""
try:
# Get struct table which contains the protein description
struct = self.block.getObj('struct')
# Get the pdbx description and make format it appropritaly
protein_description = struct.getValue('pdbx_descriptor')
protein_description = protein_description.replace('\n', ' ')
protein_description = protein_description.replace(';', ' ') # to prevent parsing errors
if len(protein_description.split(' ')) >= 5:
protein_description = ' '.join(protein_description.split(' ')[0:5]) # maximum of 5 words in header
return protein_description.strip(',')
except AttributeError:
if DEBUG_MODE > 1:
print ('! {pdb} Could not extract pdbx_descriptor from struct table.'.format(
pdb = self.pdb_entry()))
return False
def compounds(self):
""" Extracts all compounds annotated in the HETATM section of the atom
struct table if the compound appears at least 10 times and is not water
(HOH)."""
atom_site = self.block.getObj('atom_site')
compounds = {}
for row in range(0, atom_site.getRowCount()):
if atom_site.getValue('group_PDB', row) == 'HETATM':
label_comp_id = atom_site.getValue('label_comp_id', row)
if label_comp_id not in compounds.keys():
compounds[label_comp_id] = 1
else:
compounds[label_comp_id] += 1
filtered_compounds = set()
for compound in compounds.keys():
if compounds[compound] >= 10 and compound != 'HOH':
filtered_compounds.add(compound)
if len(filtered_compounds) == 0:
return False
else:
return ', '.join(filtered_compounds).replace('\n', ' ')
def resolution(self):
"""Extracts the resolution of the mmCIF."""
try:
refine = self.block.getObj('refine')
resolution = refine.getValue('ls_d_res_high')
try:
resolution = float(resolution)
except ValueError:
return False
return resolution
except AttributeError:
if DEBUG_MODE > 1:
print ('! {pdb} Could not extract ls_d_res_high from refine table.'.format(
pdb = self.pdb_entry()))
try:
reflns = self.block.getObj('reflns')
# Extract the resolution of the crystal
resolution = reflns.getValue('d_resolution_high')
try:
resolution = float(resolution)
except ValueError:
return False
return resolution
except AttributeError:
if DEBUG_MODE > 1:
print ('! {pdb} Could not extract d_resolution_high from reflns table.'.format(
pdb = self.pdb_entry()))
# This is true for some Electron Microscopy structures
try:
em_3d = self.block.getObj('em_3d_reconstruction')
resolution = em_3d.getValue('resolution')
try:
resolution = float(resolution)
except ValueError:
return False
return resolution
except AttributeError:
if DEBUG_MODE > 1:
print ('! {pdb} Could not extract resolution from em_3d_reconstruction table.'.format(
pdb = self.pdb_entry()))
return False
def experimental_method(self):
"""Extracts the experimental method of the mmCIF."""
try:
reflns = self.block.getObj('exptl')
method = reflns.getValue('method')
return method.replace('\n', ' ')
except AttributeError:
if DEBUG_MODE > 1:
print ('! Could not extract text from exptl table.'.format(
pdb = self.pdb_entry()))
return False
def keywords(self):
"""Extracts the keywords of the mmCIF."""
try:
reflns = self.block.getObj('struct_keywords')
keywords = reflns.getValue('text')
# perform some string modifications
keywords = keywords.replace('\n', ' ')
keywords = keywords.replace(';', ' ')
if len(keywords.split(' ')) >= 5:
keywords = ' '.join(keywords.split(' ')[0:5])
return keywords.rstrip(',')
except AttributeError:
if DEBUG_MODE > 1:
print ('! {pdb} Could not extract text from struct_keywords table.'.format(
pdb = self.pdb_entry()))
return False
def organism(self):
"""Extracts the organism of the mmCIF."""
try:
entity_src_nat = self.block.getObj('entity_src_nat')
organsim_scientific = entity_src_nat.getValue('pdbx_organism_scientific')
return organsim_scientific.replace('\n', ' ')
except AttributeError:
if DEBUG_MODE > 1:
print ("! {pdb} Could not extract from pdbx_organism_scientific from entity_src_gen table (".format(
pdb = self.pdb_entry()))
pass
try:
entity_src_gen = self.block.getObj("entity_src_gen")
src_scientific = entity_src_gen.getValue("pdbx_gene_src_scientific_name")
return src_scientific.replace("\n", " ")
except AttributeError:
if DEBUG_MODE > 1:
print ('! {pdb} Could not extract from pdbx_gene_src_scientific_name from entity_src_gen table'.format(
pdb = self.pdb_entry()))
return False
def r_free(self):
try:
refine = self.block.getObj('refine')
r_free = refine.getValue('ls_R_factor_R_free')
try:
return float(r_free)
except ValueError:
return False
except AttributeError:
if DEBUG_MODE > 2:
print ('! Could not extract R free factor ({pdb})'.format(
pdb = self.pdb_entry()))
except ValueError:
if DEBUG_MODE > 2:
print ('! R free factor is not annotated ({pdb})'.format(
pdb = self.pdb_entry()))
return False
# Helper functions
def parse_seq(orginal_seq):
"""Parses the cif fasta sequence and replaces non-canonical residues with their canonical counterparts."""
seq = orginal_seq
while seq.find('(') != -1:
start_pos = seq.find('(')
stop_pos = seq.find(')')
residue = seq[start_pos + 1:stop_pos]
try:
canonical = THREE2ONE[residue]
except KeyError:
canonical = 'X'
if DEBUG_MODE > 1:
print ('! Replaced non canonical residue {nc} with {c}'.format(
nc = residue,
c = canonical))
if start_pos == 0:
seq = canonical + seq[stop_pos+1:]
elif stop_pos == len(seq):
seq = seq[0:start_pos] + canonical
else:
pre_seq = seq[0:start_pos]
post_seq = seq[stop_pos+1:]
seq = pre_seq + canonical + post_seq
seq = seq.replace('\n', '')
seq_array = []
for c in seq:
if c in CANONICAL_RESIDUES:
seq_array.append(c)
else:
seq_array.append('X')
seq = ''.join(seq_array)
return seq
def get_paths(in_folder, out_folder):
"""Searches a directory and all its subdirectories for files ending
with a specific suffix."""
paths = list()
for root, dirs, files in os.walk(in_folder):
for fname in files:
if fname.endswith(".cif") or fname.endswith(".cif.gz"):
in_path = os.path.join(root, fname)
out_file = in_path.split('/')[-1].split('.')[0] + ".fasta"
out_path = os.path.join(out_folder, out_file)
#absolute_path = os.path.join(os.getcwd(), fpath)
paths.append((in_path, out_path))
return paths
def construct_header(cif2fasta):
"""Constructs a fasta header."""
protein_description = cif2fasta.protein_description()
keywords = cif2fasta.keywords()
compounds = cif2fasta.compounds()
resolution = cif2fasta.resolution()
method = cif2fasta.experimental_method()
organism = cif2fasta.organism()
r_free = cif2fasta.r_free()
# construct the header with the data given
header_information = ''
if protein_description:
protein_description = protein_description.replace(';', ' ') # to prevent parsing errors
protein_description = ' '.join(protein_description.split(' ')[0:5]) # maximum of 5 words in header
header_information += 'DSC: ' + protein_description + '; '
else:
header_information += 'DSC: N/A; '
# if keywords:
# header_information += keywords + '; '
if method:
header_information += 'MET: ' + method + '; '
else:
header_information += 'MET: N/A; '
if resolution:
header_information += 'RES: ' + resolution + '; '
else:
header_information += 'RES: N/A; '
if r_free:
header_information += 'RFR: ' + r_free + '; '
else:
header_information += 'RFR: N/A; '
if organism:
header_information += 'ORG: ' + organism + '; '
else:
header_information += 'ORG: N/A; '
if compounds:
header_information += 'HET: ' + compounds + '; '
else:
header_information += 'HET: N/A; '
if SCOP_LIBRARY:
try:
scop_idx = SCOP_LIBRARY[cif2fasta.pdb_entry()]
if len(scop_idx) != 0:
domains = ', '.join(scop_idx)
else:
domains = 'N/A'
except KeyError:
domains = 'N/A'
header_information += 'SCOP: ' + domains + '; '
return header_information.strip()
def create_fasta_entry(cif2fasta):
"""Combines information given in pdb_entry and strand_seq and yields a clean
fasta file.
"""
pdb_entry = cif2fasta.pdb_entry()
header = construct_header(cif2fasta)
chain_to_seq = cif2fasta.chain_to_seq()
chain_ratios = cif2fasta.chain_ratios(chain_to_seq)
#import pdb; pdb.set_trace()
fasta_entry = ""
if chain_to_seq and pdb_entry:
for chain in sorted(chain_to_seq.keys()):
if len(chain_to_seq[chain]) != 0:
fasta_entry += '>{pdb}_{chain} {header} CMP: {rat:.2f}\n{seq}\n'.format(
pdb = pdb_entry,
chain = chain,
header = header,
rat = chain_ratios[chain],
seq = '\n'.join(textwrap.wrap(chain_to_seq[chain], 80)))
# fasta_entry += '>' + pdb_entry + '_' + chain + ' ' + header + '\n' + '\n'.join(textwrap.wrap(chain_to_seq[chain], 80)) + '\n'
return fasta_entry
else:
return None
def create_fasta_entry2(cif2fasta):
"""" Creates a fasta entry."""
# Get all the information we need
pdb_entry = cif2fasta.pdb_entry()
protein_description = cif2fasta.protein_description()
keywords = cif2fasta.keywords()
compounds = cif2fasta.compounds()
resolution = cif2fasta.resolution()
method = cif2fasta.experimental_method()
organism = cif2fasta.organism()
r_free = cif2fasta.r_free()
# get chains and sequences
chain_to_seq = cif2fasta.chain_to_seq()
chain_ratios = cif2fasta.chain_ratios(chain_to_seq)
is_NMR = False
if 'NMR' in method:
is_NMR = True
fasta_entry = ''
pdb_filter = '' # If needed create entries that are parseable by pdb filter
if chain_to_seq and pdb_entry:
for chain, seq in chain_to_seq.items():
# check if we can find SCOP domains for the current chain
domains = False
if SCOP_LIBRARY:
try:
scop_idx = SCOP_LIBRARY[pdb_entry + '_' + chain]
if len(scop_idx) != 0:
domains = ', '.join(scop_idx)
else:
domains = False
except KeyError:
domains = False
if is_NMR:
fasta_entry += '>{p}_{c}{d}{k}{h}{r}{{{o}}}{s}\n{seq}\n'.format(
p = pdb_entry,
c = chain,
d = ' ' + protein_description + ';' if protein_description else '',
k = ' ' + keywords + ';' if keywords else '',
h = ' HET: ' + compounds + ';' if compounds else '',
r = ' NMR ',
o = organism if organism else 'N/A',
s = ' SCOP: ' + domains if domains else '',
seq = '\n'.join(textwrap.wrap(seq, 80)))
pdb_filter += '{p}_{c}\t{r}\t{f}\t{comp:.3f}\t{m}\n'.format(
p = pdb_entry,
c = chain,
m = method,
r = 'N/A',
f = round(r_free, 3) if r_free else 'N/A',
comp = round(chain_ratios[chain], 3))
else:
fasta_entry += '>{p}_{c}{d}{k}{h}{r}{{{o}}}{s}\n{seq}\n'.format(
p = pdb_entry,
c = chain,
d = ' ' + protein_description + ';' if protein_description else '',
k = ' ' + keywords + ';' if keywords else '',
h = ' HET: ' + compounds + ';' if compounds else '',
r = ' ' + str(resolution) + 'A ' if resolution else '',
o = organism if organism else 'N/A',
s = ' SCOP: ' + domains if domains else '',
seq = '\n'.join(textwrap.wrap(seq, 80)))
# <pdb_entry>_<chain>\t<resolution>\t<r_free>\t<completness>
pdb_filter += '{p}_{c}\t{r}\t{f}\t{comp:.3f}\t{m}\n'.format(
p = pdb_entry,
c = chain,
m = method,
r = round(resolution, 3) if resolution else 'N/A',
f = round(r_free, 3) if r_free else 'N/A',
comp = round(chain_ratios[chain], 3))
return (fasta_entry, pdb_filter)
def parse_scop(scop_file):
scop = defaultdict(set)
with open(scop_file) as fh:
for line in fh:
if line.startswith('#'):
continue
scop_id, pdb_code, chain, scop_num = line.split('\t')[0:4]
chain = chain.split(':')[0]
entry = pdb_code.upper() + '_' + chain
scop[entry].add(scop_num)
return scop
def wrapper_function(paths):
in_file = paths[0]
out_file = paths[1]
cif2fasta = CIF2FASTA(in_file)
if cif2fasta.is_valid():
fasta_entry = create_fasta_entry2(cif2fasta)
else:
print("Warning: Could not read %".format(in_file), file=sys.stderr)
fasta_entry = None
return fasta_entry
def write_to_file(line_list, fname, pdb_filter):
"""
Input: A list containing all lines that have to be saved to the file (line_list).
A filename (str) is the name of the file that is created.
Output: A file containing the lines in line_list.
"""
if pdb_filter:
fasta_file = open(fname, 'w')
pdb_filter = open(pdb_filter, 'w')
pdb_filter.write('#pdb_chain\tresolution\tr_free\tcompleteness\tmethod\n')
for line in line_list:
if line is not None:
fasta_file.write(line[0])
pdb_filter.write(line[1])
fasta_file.close()
pdb_filter.close()
else:
fasta_file = open(fname, 'w')
for line in line_list:
if line is not None:
fasta_file.write(line[0])
def opt():
# Initiate a OptionParser Class
usage = "usage: cif2fasta.py -i cif_folder -o *.fasta -c num_cores -v"
description = "cif2fasta.py takes a folder that contains cif files as input and outputs their sequences into fasta file."
parser = OptionParser(usage = usage, description = description)
# Call add_options to the parser
parser.add_option("-i", help = "input cif folder.", dest = "input_files", metavar = "DIR")
parser.add_option("-o", help = "output fasta file.", dest = "output_files", metavar = "FILE")
parser.add_option("-p", help = "output PDB filter file (optional).", dest= "pdb_filter", default = False, metavar = "FILE")
parser.add_option("-s", help = "SCOP annotation.", dest = "scop", default = False, metavar = "FILE")
parser.add_option('-c', help = "number of cores (default = 1).", dest = "cores", type = int, default = 1, metavar = "INT")
parser.add_option('-l', help = "Remove chains with a length < X (default = 30).", dest = "seq_len", type = int, default = 30, metavar = "INT")
parser.add_option('-v', help = 'Verbose Mode (quiet = 0, full verbosity = 2).', dest = 'bool', default = 0, type = int, metavar = "INT")
return parser
def main():
parser = opt()
(options, argv) = parser.parse_args()
global DEBUG_MODE
if options.bool:
DEBUG_MODE = options.bool
global SCOP_LIBRARY
if options.scop:
SCOP_LIBRARY = parse_scop(options.scop)
global MIN_SEQ_LEN
MIN_SEQ_LEN = options.seq_len
paths = get_paths(options.input_files, options.output_files)
print ("Found: " + str(len(paths)) + " files.")
if options.cores > 1:
pool = Pool(options.cores)
fastas = pool.map(wrapper_function, paths)
else:
fastas = map(wrapper_function, paths)
write_to_file(fastas, options.output_files, options.pdb_filter)
if __name__ == "__main__":
main()
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