Mercurial > repos > chemteam > mdanalysis_ramachandran_protein

annotate hbonds.py @ 0:0f270722aca6 draft

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"planemo upload for repository https://github.com/galaxycomputationalchemistry/galaxy-tools-compchem/ commit 1b23e024af45cc0999d9142d07de6897d4189ec2"
author chemteam
date Mon, 24 Aug 2020 16:27:56 -0400
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0f270722aca6 "planemo upload for repository https://github.com/galaxycomputationalchemistry/galaxy-tools-compchem/ commit 1b23e024af45cc0999d9142d07de6897d4189ec2"
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1 #!/usr/bin/env python
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3 import argparse
0f270722aca6 "planemo upload for repository https://github.com/galaxycomputationalchemistry/galaxy-tools-compchem/ commit 1b23e024af45cc0999d9142d07de6897d4189ec2"
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4 import csv
0f270722aca6 "planemo upload for repository https://github.com/galaxycomputationalchemistry/galaxy-tools-compchem/ commit 1b23e024af45cc0999d9142d07de6897d4189ec2"
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5 import sys
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7 import MDAnalysis as mda
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8 import MDAnalysis.analysis.hbonds
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10 import pandas as pd
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13 def parse_command_line(argv):
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14 parser = argparse.ArgumentParser()
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15 parser.add_argument('--itraj', help='input traj')
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16 parser.add_argument('--istr', help='input str')
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17 parser.add_argument('--itrajext', help='input traj ext')
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18 parser.add_argument('--istrext', help='input str ext')
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19 parser.add_argument('--isegid1', help='segid 1')
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20 parser.add_argument('--isegid2', help='segid 2')
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21 parser.add_argument('--idistance', help='cutoff distance')
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22 parser.add_argument('--iangle', help='ctoff angle')
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23 parser.add_argument('--output', help='output')
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24 parser.add_argument('--ofreq_output', help='frequency output')
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25 parser.add_argument('--onumber_output', help='number of hbond output')
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26 parser.add_argument('--otime_output', help='time steps output')
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27 return parser.parse_args()
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30 args = parse_command_line(sys.argv)
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32 selection1 = "segid %s" % args.isegid1
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33 selection2 = "segid %s" % args.isegid2
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34 distance = float(args.idistance)
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35 angle = float(args.iangle)
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37 u = mda.Universe(args.istr, args.itraj,
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38 topology_format=args.istrext, format=args.itrajext)
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40 h = MDAnalysis.analysis.hbonds.HydrogenBondAnalysis(
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41 u, selection1, selection2, distance=distance, angle=angle)
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42 h.run()
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43 h.generate_table()
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45 df = pd.DataFrame.from_records(h.table)
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46 df.to_csv(args.output, sep='\t')
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48 t1 = list(h.count_by_type())
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49 t2 = list(h.count_by_time())
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50 t3 = list(h.timesteps_by_type())
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52 with open(args.ofreq_output, 'w') as f:
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53 f.write("donor_index\tacceptor_index\t\
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54 donor_resname\tdonor_resid\tdonor_atom\t\
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55 hydrogen_atom\tacceptor_reansme\tacceptor_resid\t\
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56 acceptor_atom\tfrequency\n")
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57 writer = csv.writer(f, delimiter='\t')
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58 writer.writerows(t1)
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59
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61 with open(args.onumber_output, 'w') as f1:
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62 f1.write("time_step\tno_of_h_bonds\n")
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63 writer = csv.writer(f1, delimiter='\t')
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64 writer.writerows(t2)
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65
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66 with open(args.otime_output, 'w') as f2:
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67 f2.write("donor_index\tacceptor_index\t\
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68 donor_resname\tdonor_resid\tdonor_atom\t\
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69 hydrogen_atom\tacceptor_reansme\tacceptor_resid\t\
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70 acceptor_atom\ttime_step\n")
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71 writer = csv.writer(f2, delimiter='\t')
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72 writer.writerows(t3)