[AMBER] cluster analysis using cpptraj

From: Sowmya Indrakumar <soemya.kemi.dtu.dk>
Date: Mon, 25 Sep 2017 09:22:33 +0000

Dear All,
I am doing cluster analysis using the following script from: http://www.amber.utah.edu/AMBER-workshop/London-2015/Cluster/


I get this message after it's complete with no output file. I even changed the cutoff of minpoints and epsilon, it still gives the same message.

cpptraj ../../model_sol.mod.parm7 cpptraj.in

CPPTRAJ: Trajectory Analysis. V17.00
    ___ ___ ___ ___
     | \/ | \/ | \/ |
    _|_/\_|_/\_|_/\_|_

| Date/time: 09/25/17 10:55:25
| Available memory: 3.626 GB

    Reading '../../model_sol.mod.parm7' as Amber Topology
    Radius Set: H(N)-modified Bondi radii (mbondi2)
INPUT: Reading input from 'cpptraj.in'
  [trajin ../../5.0/prod_pH.nc]
    Reading '../../5.0/prod_pH.nc' as Amber NetCDF
  [strip :Na+ outprefix noions]
    STRIP: Stripping atoms in mask [:Na+]
    Stripped topology will be output with prefix 'noions'
  [cluster C0 dbscan minpoints 25 epsilon 0.9 sievetoframe rms :1-677.CA,N,C sieve 100 out cnumvtime.dat summary summary.dat info info.dat cpopvtime cpopvtime.agr normframe repout rep repfmt pdb singlerepout singlerep.nc singlerepfmt netcdf avgout Avg avgfmt restart]
    CLUSTER: Using coords dataset _DEFAULTCRD_, clustering using RMSD (mask [:1-677.CA,N,C]) best-fit
    DBSCAN:
        Minimum pts to form cluster= 25
        Cluster distance criterion= 0.900
        Sieved frames will only be added back if they are within
          0.900 of a frame in an existing cluster.
          (This option is more accurate and will identify sieved
          frames as noise but is slower.)
    Initial clustering sieve value is 100 frames.
    Only non-sieved frames will be used to calc within-cluster average.
    Cluster # vs time will be written to cnumvtime.dat
    Cluster pop vs time will be written to cpopvtime.agr (normalized by frame)
    Pairwise distance data set is 'C0[PWD]'
    Cluster information will be written to info.dat
    Summary of cluster results will be written to summary.dat
    Representative frames will be chosen by closest distance to cluster centroid.
    Cluster representatives will be written to 1 traj (singlerep.nc), format Amber NetCDF
    Cluster representatives will be written to separate trajectories,
        prefix (rep), format PDB
    Average structures for clusters will be written to Avg, format Amber Restart
Warning: One or more analyses requested creation of default COORDS DataSet.
    CREATECRD: Saving coordinates from Top model_sol.mod.parm7 to "_DEFAULTCRD_"
---------- RUN BEGIN -------------------------------------------------

PARAMETER FILES (1 total):
 0: model_sol.mod.parm7, 82378 atoms, 24759 res, box: Orthogonal, 24083 mol, 23978 solvent

INPUT TRAJECTORIES (1 total):
 0: 'prod_pH.nc' is a NetCDF AMBER trajectory, Parm model_sol.mod.parm7 (Orthogonal box) (reading 20000 of 20000)
  Coordinate processing will occur on 20000 frames.

BEGIN TRAJECTORY PROCESSING:
.....................................................
ACTION SETUP FOR PARM 'model_sol.mod.parm7' (2 actions):
  0: [strip :Na+ outprefix noions]
    Stripping 45 atoms.
    Stripped topology: 82333 atoms, 24714 res, box: Orthogonal, 24038 mol, 23978 solvent
    Writing topology 0 (model_sol.mod.parm7) to 'noions.model_sol.mod.parm7' with format Amber Topology
  1: [createcrd _DEFAULTCRD_]
Warning: COORDS data sets do not store times.
    Estimated memory usage (20000 frames): 19.760 GB
----- prod_pH.nc (1-20000, 1) -----
 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Complete.

Read 20000 frames and processed 20000 frames.
TIME: Avg. throughput= 46.0936 frames / second.

ACTION OUTPUT:

ANALYSIS: Performing 1 analyses:
  0: [cluster C0 dbscan minpoints 25 epsilon 0.9 sievetoframe rms :1-677.CA,N,C sieve 100 out cnumvtime.dat summary summary.dat info info.dat cpopvtime cpopvtime.agr normframe repout rep repfmt pdb singlerepout singlerep.nc singlerepfmt netcdf avgout Avg avgfmt restart]
    Starting clustering.
    Mask [:1-677.CA,N,C] corresponds to 2031 atoms.
    Estimated pair-wise matrix memory usage: > 79.664 kB
    Pair-wise matrix set up with sieve, 20000 frames, 200 sieved frames.
    Calculating pair-wise distances.
 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% Complete.
    Memory used by pair-wise matrix and other cluster data: 160.512 kB
 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Complete.
    No clusters found.
    Cluster timing data:
TIME: Cluster Init. : 0.0011 s ( 0.01%)
TIME: Pairwise Calc.: 7.5530 s ( 73.76%)
TIME: Clustering : 0.0010 s ( 0.01%)
TIME: Cluster Post. : 0.0000 s ( 0.00%)
TIME: Cluster renumbering/sieve restore 0.0000 s ( 0.00%)
TIME: Find best rep. 0.0000 s ( 0.00%)
TIME: Info calc 0.0000 s ( 0.00%)
TIME: Summary calc 0.0000 s ( 0.00%)
TIME: Coordinate writes 0.0000 s ( 0.00%)
TIME: Total: 10.2406 s

TIME: Analyses took 10.2480 seconds.

DATASETS (3 total):
    _DEFAULTCRD_ "_DEFAULTCRD_" (coordinates), size is 20000 (19.760 GB) Box Coords, 82333 atoms
    C0 "C0" (integer), size is 0
    C0[PWD] "C0[PWD]" (cluster matrix), size is 19900

DATAFILES (2 total):
  cnumvtime.dat (Standard Data File): C0
  cpopvtime.agr (Grace File):
Warning: Set 'C0' contains no data.
Warning: File 'cnumvtime.dat' has no sets containing data.
Warning: File 'cpopvtime.agr' has no sets containing data.

RUN TIMING:
TIME: Init : 0.0000 s ( 0.00%)
TIME: Trajectory Process : 433.8995 s ( 94.95%)
TIME: Action Post : 0.0424 s ( 0.01%)
TIME: Analysis : 10.2480 s ( 2.24%)
TIME: Data File Write : 0.0012 s ( 0.00%)
TIME: Other : 12.7649 s ( 0.03%)
TIME: Run Total 456.9560 s
---------- RUN END ---------------------------------------------------
TIME: Total execution time: 457.5483 seconds.
--------------------------------------------------------------------------------
To cite CPPTRAJ use:
Daniel R. Roe and Thomas E. Cheatham, III, "PTRAJ and CPPTRAJ: Software for
  Processing and Analysis of Molecular Dynamics Trajectory Data". J. Chem.
  Theory Comput., 2013, 9 (7), pp 3084-3095.


Kindly, suggest what I'm doing wrong.

Thanks
Regards
Sowmya
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Received on Mon Sep 25 2017 - 02:30:02 PDT
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