/usr/share/pdb2pqr/propka30/propka.py is in pdb2pqr 2.1.1+dfsg-2.
This file is owned by root:root, with mode 0o755.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 | #!/usr/bin/python
#
# * This library is free software; you can redistribute it and/or
# * modify it under the terms of the GNU Lesser General Public
# * License as published by the Free Software Foundation; either
# * version 2.1 of the License, or (at your option) any later version.
# *
# * This library is distributed in the hope that it will be useful,
# * but WITHOUT ANY WARRANTY; without even the implied warranty of
# * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# * Lesser General Public License for more details.
#
#propka3.0, revision 182 2011-08-09
#-------------------------------------------------------------------------------------------------------
#-- --
#-- PROPKA: A PROTEIN PKA PREDICTOR --
#-- --
#-- VERSION 3.0, 01/01/2011, COPENHAGEN --
#-- BY MATS H.M. OLSSON AND CHRESTEN R. SONDERGARD --
#-- --
#-------------------------------------------------------------------------------------------------------
#
#
#-------------------------------------------------------------------------------------------------------
# References:
#
# Very Fast Empirical Prediction and Rationalization of Protein pKa Values
# Hui Li, Andrew D. Robertson and Jan H. Jensen
# PROTEINS: Structure, Function, and Bioinformatics 61:704-721 (2005)
#
# Very Fast Prediction and Rationalization of pKa Values for Protein-Ligand Complexes
# Delphine C. Bas, David M. Rogers and Jan H. Jensen
# PROTEINS: Structure, Function, and Bioinformatics 73:765-783 (2008)
#
# PROPKA3: Consistent Treatment of Internal and Surface Residues in Empirical pKa predictions
# Mats H.M. Olsson, Chresten R. Sondergard, Michal Rostkowski, and Jan H. Jensen
# Journal of Chemical Theory and Computation, 7, 525-537 (2011)
#-------------------------------------------------------------------------------------------------------
import string, re, sys, os, math
import Source.lib as lib
from Source.protein import Protein
def main():
"""
Simple main that creates the proteins, calculates pKa values, and prints pKa files
"""
# loading options, flaggs and arguments
options, pdbfiles = lib.loadOptions()
for pdbfile in pdbfiles:
# creating protein object
myProtein = Protein(pdbfile=pdbfile, options=options)
# calculating pKa values for ionizable residues
myProtein.calculatePKA(options=options)
# printing pka file
myProtein.writePKA(options=options)
if __name__ == '__main__': main()
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