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pri-score.py
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# Sebastian Raschka 2018
# https://sebastianraschka.com
#
#
# The Protein Recognition Index (PRI)
# measures the similarity between H-bonding
# features in a given complex (predicted or designed)
# and the characteristic H-bond trends from crystallographic complexes.
#
# Source Code Repository: https://github.com/psa-lab/Protein-Recognition-Index
# Documentation: https://psa-lab.github.io/Protein-Recognition-Index
#
#
#
# Apache License
# Version 2.0, January 2004
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# Copyright 2018 Michigan State University
#
# The Protein Recognition Index (PRI) software was developed
# by Sebastian Raschka and Leslie A. Kuhn
# in the Protein Structure Lab
# (http://www.kuhnlab.bmb.msu.edu) at Michigan State University.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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# limitations under the License.
import sys
RESIDUE_ATOM = {
"ALA": {
"N": {
"Acceptor": 0,
"Donor": 18
},
"O": {
"Acceptor": 10,
"Donor": 0
}
},
"ARG": {
"N": {
"Acceptor": 0,
"Donor": 5
},
"NE": {
"Acceptor": 0,
"Donor": 28
},
"NH1": {
"Acceptor": 0,
"Donor": 63
},
"NH2": {
"Acceptor": 0,
"Donor": 84
},
"O": {
"Acceptor": 8,
"Donor": 0
}
},
"ASN": {
"N": {
"Acceptor": 0,
"Donor": 10
},
"ND2": {
"Acceptor": 0,
"Donor": 43
},
"O": {
"Acceptor": 6,
"Donor": 0
},
"OD1": {
"Acceptor": 13,
"Donor": 0
}
},
"ASP": {
"N": {
"Acceptor": 0,
"Donor": 4
},
"O": {
"Acceptor": 7,
"Donor": 0
},
"OD1": {
"Acceptor": 51,
"Donor": 0
},
"OD2": {
"Acceptor": 57,
"Donor": 0
}
},
"CYS": {
"N": {
"Acceptor": 0,
"Donor": 5
},
"O": {
"Acceptor": 3,
"Donor": 0
}
},
"GLN": {
"N": {
"Acceptor": 0,
"Donor": 4
},
"NE2": {
"Acceptor": 0,
"Donor": 23
},
"O": {
"Acceptor": 5,
"Donor": 0
},
"OE1": {
"Acceptor": 8,
"Donor": 0
}
},
"GLU": {
"N": {
"Acceptor": 0,
"Donor": 2
},
"O": {
"Acceptor": 1,
"Donor": 0
},
"OE1": {
"Acceptor": 27,
"Donor": 0
},
"OE2": {
"Acceptor": 30,
"Donor": 0
}
},
"GLY": {
"N": {
"Acceptor": 0,
"Donor": 53
},
"O": {
"Acceptor": 20,
"Donor": 0
}
},
"HIS": {
"N": {
"Acceptor": 0,
"Donor": 3
},
"ND1": {
"Acceptor": 0,
"Donor": 7
},
"NE2": {
"Acceptor": 2,
"Donor": 20
},
"O": {
"Acceptor": 6,
"Donor": 0
}
},
"ILE": {
"N": {
"Acceptor": 0,
"Donor": 8
},
"O": {
"Acceptor": 6,
"Donor": 0
}
},
"LEU": {
"N": {
"Acceptor": 0,
"Donor": 6
},
"O": {
"Acceptor": 6,
"Donor": 0
}
},
"LYS": {
"N": {
"Acceptor": 0,
"Donor": 17
},
"NZ": {
"Acceptor": 0,
"Donor": 67
},
"O": {
"Acceptor": 2,
"Donor": 0
}
},
"MET": {
"N": {
"Acceptor": 0,
"Donor": 7
},
"O": {
"Acceptor": 2,
"Donor": 0
}
},
"PHE": {
"N": {
"Acceptor": 0,
"Donor": 4
},
"O": {
"Acceptor": 4,
"Donor": 0
}
},
"PRO": {
"O": {
"Acceptor": 7,
"Donor": 0
}
},
"SER": {
"N": {
"Acceptor": 0,
"Donor": 33
},
"O": {
"Acceptor": 10,
"Donor": 0
},
"OG": {
"Acceptor": 8,
"Donor": 56
}
},
"THR": {
"N": {
"Acceptor": 0,
"Donor": 22
},
"O": {
"Acceptor": 3,
"Donor": 0
},
"OG1": {
"Acceptor": 7,
"Donor": 42
}
},
"TRP": {
"N": {
"Acceptor": 0,
"Donor": 6
},
"NE1": {
"Acceptor": 0,
"Donor": 10
},
"O": {
"Acceptor": 3,
"Donor": 0
}
},
"TYR": {
"N": {
"Acceptor": 0,
"Donor": 5
},
"O": {
"Acceptor": 5,
"Donor": 0
},
"OH": {
"Acceptor": 16,
"Donor": 37
}
},
"VAL": {
"N": {
"Acceptor": 0,
"Donor": 20
},
"O": {
"Acceptor": 12,
"Donor": 0
}
}
}
LIGAND = {
"Acceptor": 712,
"Atom": {
"F": {
"Acceptor": 2,
"Donor": 0,
"Metal": 0
},
"N.2": {
"Acceptor": 14,
"Donor": 2,
"Metal": 1
},
"N.3": {
"Acceptor": 0,
"Donor": 3,
"Metal": 0
},
"N.4": {
"Acceptor": 0,
"Donor": 64,
"Metal": 0
},
"N.am": {
"Acceptor": 4,
"Donor": 70,
"Metal": 0
},
"N.ar": {
"Acceptor": 41,
"Donor": 0,
"Metal": 1
},
"N.pl3": {
"Acceptor": 0,
"Donor": 81,
"Metal": 1
},
"O.2": {
"Acceptor": 221,
"Donor": 0,
"Metal": 11
},
"O.3": {
"Acceptor": 268,
"Donor": 125,
"Metal": 37
},
"O.co2": {
"Acceptor": 162,
"Donor": 0,
"Metal": 9
}
}
}
PROT_MU = 298.139705882
PROT_SIGMA = 213.78356884
LIG_MU = 1323.53676471
LIG_SIGMA = 1022.75276545
def calc_pri(txt):
pri_lig, pri_prot = 0, 0
for line in txt.split('\n'):
if not line.startswith('| hbond'):
continue
lig_data, prot_data = line.split('--')
prot_data = prot_data.split()
prot_type = prot_data[-1]
lig_type = prot_data[-3]
prot_residue = prot_data[0]
prot_atomtype = prot_data[3]
lig_atomtype = lig_data.split()[4]
pri_prot += RESIDUE_ATOM[prot_residue][prot_atomtype][prot_type]
pri_lig += LIGAND['Atom'][lig_atomtype][lig_type]
pri = ((pri_lig - LIG_MU)/LIG_SIGMA) + ((pri_prot - PROT_MU)/PROT_SIGMA)
return pri_prot, pri_lig, pri
if __name__ == '__main__':
s = """
Protein Recognition Index, version 1.0.0
Documentation: http://psa-lab.github.io/protein-recognition-index
Raschka, Wolf, Bemister-Buffington, Kuhn (2018)
Protein Structure and Analysis Lab, MSU (http://kuhnlab.bmb.msu.edu)
"""
print(s)
usage = "\nUSAGE: python code/pri-score.py hbind_table.txt\n"
if len(sys.argv) < 2:
print("Argument Error: Missing Hbind table path on the command line")
print(usage)
sys.exit()
in_file = sys.argv[1]
try:
with open(in_file, 'r') as f:
txt = f.read()
except FileNotFoundError as e:
print(e)
print(usage)
sys.exit()
pri_prot, pri_lig, pri = calc_pri(txt)
print('Protein PRI: %d' % pri_prot)
print('Ligand PRI: %d' % pri_lig)
print('PRI: %.3f' % pri)