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De-lint ligand_pka_values.py

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This commit is contained in:
Nathan Baker
2020-05-24 16:39:59 -07:00
parent 59a8717664
commit 3a5bae5b41
2 changed files with 142 additions and 73 deletions
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8
propka/group.py
View File

@@ -2,7 +2,7 @@
import math
import propka.ligand
import propka.protonate
from propka.ligand_pka_values import ligand_pka_values
from propka.ligand_pka_values import LigandPkaValues
from propka.determinant import Determinant
from propka.lib import info, warning
@@ -1368,10 +1368,10 @@ def is_ligand_group_by_marvin_pkas(parameters, atom):
# if not already done
# TODO - double-check testing coverage of these functions.
if not atom.conformation_container.marvin_pkas_calculated:
lpka = ligand_pka_values(parameters)
lpka = LigandPkaValues(parameters)
lpka.get_marvin_pkas_for_molecular_container(atom.molecular_container,
min_pH=parameters.min_ligand_model_pka,
max_pH=parameters.max_ligand_model_pka)
min_ph=parameters.min_ligand_model_pka,
max_ph=parameters.max_ligand_model_pka)
if atom.marvin_pka:
return TitratableLigandGroup(atom)
# Special case of oxygen in carboxyl group not assigned a pka value by marvin

193
propka/ligand_pka_values.py
View File

@@ -1,15 +1,25 @@
#!/usr/bin/env python
from __future__ import division
from __future__ import print_function
"""Ligand pKa values"""
import os
import subprocess
import sys
import propka.molecular_container
import propka.calculations
import propka.parameters
import propka.pdb
import propka.lib
from propka.lib import info, warning
import propka.molecular_container, propka.calculations, propka.calculations, propka.parameters, propka.pdb, propka.lib, os, subprocess, sys
class ligand_pka_values:
class LigandPkaValues:
"""Ligand pKa value class."""
def __init__(self, parameters):
self.parameters = parameters
"""Initialize object with parameters.
Args:
parameters: parameters
"""
self.parameters = parameters
# attempt to find Marvin executables in the path
self.molconvert = self.find_in_path('molconvert')
self.cxcalc = self.find_in_path('cxcalc')
@@ -17,68 +27,129 @@ class ligand_pka_values:
info(self.cxcalc)
info(self.molconvert)
return
@staticmethod
def find_in_path(program):
"""Find a program in the system path.
def find_in_path(self, program):
Args:
program: program to find
Returns:
location of program
"""
path = os.environ.get('PATH').split(os.pathsep)
l = [i for i in filter(lambda loc: os.access(loc, os.F_OK),
locs = [i for i in filter(lambda loc: os.access(loc, os.F_OK), \
map(lambda dir: os.path.join(dir, program), path))]
if len(l) == 0:
info('Error: Could not find %s. Please make sure that it is found in the path.' % program)
if len(locs) == 0:
str_ = "'Error: Could not find %s." % program
str_ += ' Please make sure that it is found in the path.'
info(str_)
sys.exit(-1)
return locs[0]
return l[0]
def get_marvin_pkas_for_pdb_file(self, pdbfile, num_pkas=10, min_ph=-10, max_ph=20):
"""Use Marvin executables to get pKas for a PDB file.
def get_marvin_pkas_for_pdb_file(self, file, no_pkas=10, min_pH =-10, max_pH=20):
molecule = propka.molecular_container.Molecular_container(file)
self.get_marvin_pkas_for_molecular_container(molecule, no_pkas=no_pkas, min_pH =min_pH, max_pH=max_pH)
return
Args:
pdbfile: PDB file
num_pkas: number of pKas to get
min_ph: minimum pH value
max_ph: maximum pH value
"""
molecule = propka.molecular_container.Molecular_container(pdbfile)
self.get_marvin_pkas_for_molecular_container(molecule,
num_pkas=num_pkas,
min_ph=min_ph,
max_ph=max_ph)
def get_marvin_pkas_for_molecular_container(self, molecule, no_pkas=10, min_pH =-10, max_pH=20):
def get_marvin_pkas_for_molecular_container(self, molecule, num_pkas=10, min_ph=-10, max_ph=20):
"""Use Marvin executables to calculate pKas for a molecular container.
Args:
molecule: molecular container
num_pkas: number of pKas to calculate
min_ph: minimum pH value
max_ph: maximum pH value
"""
for name in molecule.conformation_names:
filename = '%s_%s' % (molecule.name, name)
self.get_marvin_pkas_for_conformation_container(molecule.conformations[name], name=filename, reuse=molecule.options.reuse_ligand_mol2_file,
no_pkas=no_pkas, min_pH =min_pH, max_pH=max_pH)
self.get_marvin_pkas_for_conformation_container(molecule.conformations[name],
name=filename,
reuse=molecule.\
options.reuse_ligand_mol2_file,
num_pkas=num_pkas,
min_ph=min_ph,
max_ph=max_ph)
return
def get_marvin_pkas_for_conformation_container(self, conformation,
name='temp', reuse=False,
num_pkas=10, min_ph=-10,
max_ph=20):
"""Use Marvin executables to calculate pKas for a conformation container.
def get_marvin_pkas_for_conformation_container(self, conformation, name = 'temp', reuse=False, no_pkas=10, min_pH =-10, max_pH=20):
Args:
conformation: conformation container
name: filename
reuse: flag to reuse the structure files
num_pkas: number of pKas to calculate
min_ph: minimum pH value
max_ph: maximum pH value
"""
conformation.marvin_pkas_calculated = True
self.get_marvin_pkas_for_atoms(conformation.get_heavy_ligand_atoms(), name=name, reuse=reuse,
no_pkas=no_pkas, min_pH =min_pH, max_pH=max_pH)
self.get_marvin_pkas_for_atoms(conformation.get_heavy_ligand_atoms(),
name=name, reuse=reuse,
num_pkas=num_pkas, min_ph=min_ph,
max_ph=max_ph)
return
def get_marvin_pkas_for_atoms(self, atoms, name='temp', reuse=False,
num_pkas=10, min_ph=-10, max_ph=20):
"""Use Marvin executables to calculate pKas for a list of atoms.
def get_marvin_pkas_for_atoms(self, atoms, name='temp', reuse=False, no_pkas=10, min_pH =-10, max_pH=20):
Args:
atoms: list of atoms
name: filename
reuse: flag to reuse the structure files
num_pkas: number of pKas to calculate
min_ph: minimum pH value
max_ph: maximum pH value
"""
# do one molecule at the time so we don't confuse marvin
molecules = propka.lib.split_atoms_into_molecules(atoms)
for i in range(len(molecules)):
for i, molecule in enumerate(molecules):
filename = '%s_%d.mol2'%(name, i+1)
self.get_marvin_pkas_for_molecule(molecules[i], filename=filename, reuse=reuse, no_pkas=no_pkas, min_pH =min_pH, max_pH=max_pH)
self.get_marvin_pkas_for_molecule(molecule, filename=filename,
reuse=reuse, num_pkas=num_pkas,
min_ph=min_ph, max_ph=max_ph)
return
def get_marvin_pkas_for_molecule(self, atoms, filename='__tmp_ligand.mol2',
reuse=False, num_pkas=10, min_ph=-10,
max_ph=20):
"""Use Marvin executables to calculate pKas for a molecule.
def get_marvin_pkas_for_molecule(self, atoms, filename='__tmp_ligand.mol2', reuse=False, no_pkas=10, min_pH =-10, max_pH=20):
Args:
molecule: the molecule
name: filename
reuse: flag to reuse the structure files
num_pkas: number of pKas to calculate
min_ph: minimum pH value
max_ph: maximum pH value
"""
# print out structure unless we are using user-modified structure
if not reuse:
propka.pdb.write_mol2_for_atoms(atoms, filename)
# check that we actually have a file to work with
if not os.path.isfile(filename):
warning('Didn\'t find a user-modified file \'%s\' - generating one' % filename)
errstr = "Didn't find a user-modified file '%s' - generating one" \
% filename
warning(errstr)
propka.pdb.write_mol2_for_atoms(atoms, filename)
# Marvin
# calculate pKa values
options = 'pka -a %d -b %d --min %f --max %f -d large'%(no_pkas, no_pkas, min_pH, max_pH)
# Marvin calculate pKa values
options = 'pka -a %d -b %d --min %f --max %f -d large' % (num_pkas,
num_pkas,
min_ph,
max_ph)
(output, errors) = subprocess.Popen([self.cxcalc, filename]+options.split(),
stdout=subprocess.PIPE, stderr=subprocess.PIPE).communicate()
stdout=subprocess.PIPE,
stderr=subprocess.PIPE).communicate()
if len(errors) > 0:
info('********************************************************************************************************')
info('* Warning: Marvin execution failed: *')
@@ -87,36 +158,34 @@ class ligand_pka_values:
info('* Please edit the ligand mol2 file and re-run PropKa with the -l option: %29s *' % filename)
info('********************************************************************************************************')
sys.exit(-1)
# extract calculated pkas
indices, pkas, types = self.extract_pkas(output)
# store calculated pka values
for i in range(len(indices)):
atoms[indices[i]].marvin_pka = pkas[i]
atoms[indices[i]].charge = {'a':-1,'b':+1}[types[i]]
info('%s model pKa: %.2f' % (atoms[indices[i]], pkas[i]))
for i, index in enumerate(indices):
atoms[index].marvin_pka = pkas[i]
atoms[index].charge = {'a': -1, 'b': 1}[types[i]]
info('%s model pKa: %.2f' % (atoms[index], pkas[i]))
return
@staticmethod
def extract_pkas(output):
"""Extract pKa value from output.
def extract_pkas(self, output):
Args:
output: output string to parse
Returns:
1. Indices
2. Values
3. Types
"""
# split output
[tags, values,empty_line] = output.decode().split('\n')
#info(tags)
#info(values)
[tags, values, _] = output.decode().split('\n')
tags = tags.split('\t')
values = values.split('\t')
# format values
types = [tags[i][0] for i in range(1,len(tags)-1) if len(values)>i and values[i] != '']
types = [tags[i][0] for i in range(1, len(tags)-1) if len(values) > i \
and values[i] != '']
indices = [int(a)-1 for a in values[-1].split(',') if a != '']
values = [float(v.replace(',', '.')) for v in values[1:-1] if v != '']
if len(indices) != len(values) != len(types):
raise Exception('Lengths of atoms and pka values mismatch')
return indices, values, types