Mercurial > repos > chemteam > mdanalysis_ramachandran_protein
view distance_single.py @ 2:060b9d9ec8cf draft default tip
"planemo upload for repository https://github.com/galaxycomputationalchemistry/galaxy-tools-compchem/ commit f1c3c88c7395f2e84cbc533199406aadb79c5c07"
author | chemteam |
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date | Fri, 13 Nov 2020 19:42:10 +0000 |
parents | 0f270722aca6 |
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#!/usr/bin/env python import argparse import sys import MDAnalysis as mda import matplotlib import matplotlib.pyplot as plt import numpy as np matplotlib.use('Agg') # noqa def parse_command_line(argv): parser = argparse.ArgumentParser() parser.add_argument('--itraj', help='input traj') parser.add_argument('--istr', help='input str') parser.add_argument('--itrajext', help='input traj ext') parser.add_argument('--istrext', help='input str ext') parser.add_argument('--isegid1', help='segid 1') parser.add_argument('--iresid1', help='resid 1') parser.add_argument('--iname1', help='name 1') parser.add_argument('--isegid2', help='segid 2') parser.add_argument('--iresid2', help='resid 2') parser.add_argument('--iname2', help='name 2') parser.add_argument('--output', help='output') parser.add_argument('--odistance_plot', help='odistance plot') parser.add_argument('--header', dest='header', action='store_true') return parser.parse_args() args = parse_command_line(sys.argv) atom1 = "(segid %s and resid %s and name %s)" % \ (args.isegid1, args.iresid1, args.iname1) atom2 = "(segid %s and resid %s and name %s)" % \ (args.isegid2, args.iresid2, args.iname2) u = mda.Universe(args.istr, args.itraj, topology_format=args.istrext, format=args.itrajext) x = u.select_atoms(atom1) y = u.select_atoms(atom2) with open(args.output, 'w') as f: if args.header: f.write('Frame\tDistance') for t in u.trajectory: r = x.positions - y.positions d = np.linalg.norm(r) f.write(str(t.frame) + '\t ') f.write(str(d) + '\n') with open(args.output) as f: g = [xtmp.strip() for xtmp in f] data = [tuple(map(float, xtmp.split())) for xtmp in g[0:]] time = [xtmp[0] for xtmp in data] distance = [xtmp[1] for xtmp in data] plt.plot(time, distance) plt.xlabel('Frame No.') plt.ylabel(r'Distance ($\AA$)') plt.savefig(args.odistance_plot, format='png')