[gmx-users] Re: gmx-users Digest, Vol 66, Issue 174

alexander yakovenko yakovenko_a at ukr.net
Tue Oct 27 21:38:55 CET 2009


Thank you, Tsjerk, for replay.  
my commands:  
  
g_covar_d -f sss_mdsi_1000.trr -s sss_mdsi_1000.tpr -n sss.ndx -o sss_1000_eigenval.xvg -xpm sss_1000_covar.xpm -v sss_1000_eigenvec.trr -mwa  -l  
...  
Option     Filename  Type         Description  
------------------------------------------------------------  
  -f sss_mdsi_1000.trr  Input        Trajectory: xtc trr trj gro g96 pdb cpt  
  -s sss_mdsi_1000.tpr  Input        Structure+mass(db): tpr tpb tpa gro g96  
                                   pdb  
  -n        sss.ndx  Input, Opt!  Index file  
  -o sss_1000_eigenval.xvg  Output       xvgr/xmgr file  
  -v sss_1000_eigenvec.trr  Output       Full precision trajectory: trr trj  
                                   cpt  
 -av    average.pdb  Output       Structure file: gro g96 pdb  
  -l      covar.log  Output       Log file  
-ascii    covar.dat  Output, Opt. Generic data file  
-xpm sss_1000_covar.xpm  Output, Opt! X PixMap compatible matrix file  
-xpma    covara.xpm  Output, Opt. X PixMap compatible matrix file  
  
Option       Type   Value   Description  
------------------------------------------------------  
-[no]h       bool   no      Print help info and quit  
-nice        int    19      Set the nicelevel  
-b           time   0       First frame (ps) to read from trajectory  
-e           time   0       Last frame (ps) to read from trajectory  
-dt          time   0       Only use frame when t MOD dt = first time (ps)  
-tu          enum   ps      Time unit: ps, fs, ns, us, ms or s  
-[no]xvgr    bool   yes     Add specific codes (legends etc.) in the output  
                            xvg files for the xmgrace program  
-[no]fit     bool   yes     Fit to a reference structure  
-[no]ref     bool   no      Use the deviation from the conformation in the  
                            structure file instead of from the average  
-[no]mwa     bool   yes     Mass-weighted covariance analysis  
-last        int    -1      Last eigenvector to write away (-1 is till the  
                            last)  
-[no]pbc     bool   yes     Apply corrections for periodic boundary conditions  
  
Reading file sss_mdsi_1000.tpr, VERSION 4.0.5 (double precision)  
Reading file sss_mdsi_1000.tpr, VERSION 4.0.5 (double precision)  
  
Choose a group for the least squares fit  
Group     0 (      System) has 31748 elements  
...  
Group    20 ( active_site) has    54 elements  
Select a group: 20  
Selected 20: 'active_site'  
  
Choose a group for the covariance analysis  
Group     0 (      System) has 31748 elements  
...  
Group    20 ( active_site) has    54 elements  
Select a group: 20  
Selected 20: 'active_site'  
Calculating the average structure ...  
trn version: GMX_trn_file (double precision)  
Last frame       2000 time 2000.000    
  
Constructing covariance matrix (162x162) ...  
Last frame       2000 time 2000.000    
Read 2001 frames  
  
Trace of the covariance matrix: 6.22756 (u nm^2)  
  
100%  
Diagonalizing ...  
  
Sum of the eigenvalues: 6.22756 (u nm^2)  
  
Writing eigenvalues to sss_1000_eigenval.xvg  
  
Writing reference, average structure & eigenvectors 1--162 to sss_1000_eigenvec.trr  
  
Wrote the log to covar.log  
  
gcq#86: "Shake Barrels Of Whisky Down My Throat" (Throwing Muses)  
  
  
  
g_anaeig_d -v sss_1000_eigenvec.trr -eig sss_1000_eigenval.xvg -v2 sss_1000_eigenvec.trr -eig2 sss_1000_eigenval.xvg -f sss_mdsi_1000.trr -s sss_mdsi_1000.tpr -first 1 -last 10 -n sss.ndx -proj -over  
  
...  
  
Option     Filename  Type         Description  
------------------------------------------------------------  
  -v sss_1000_eigenvec.trr  Input        Full precision trajectory: trr trj  
                                   cpt  
 -v2 sss_1000_eigenvec.trr  Input, Opt!  Full precision trajectory: trr trj  
                                   cpt  
  -f sss_mdsi_1000.trr  Input, Opt!  Trajectory: xtc trr trj gro g96 pdb cpt  
  -s sss_mdsi_1000.tpr  Input, Opt!  Structure+mass(db): tpr tpb tpa gro g96  
                                   pdb  
  -n        sss.ndx  Input, Opt!  Index file  
-eig sss_1000_eigenval.xvg  Input, Opt!  xvgr/xmgr file  
-eig2sss_1000_eigenval.xvg  Input, Opt!  xvgr/xmgr file  
-comp   eigcomp.xvg  Output, Opt. xvgr/xmgr file  
-rmsf   eigrmsf.xvg  Output, Opt. xvgr/xmgr file  
-proj      proj.xvg  Output, Opt! xvgr/xmgr file  
 -2d     2dproj.xvg  Output, Opt. xvgr/xmgr file  
 -3d     3dproj.pdb  Output, Opt. Structure file: gro g96 pdb  
-filt  filtered.xtc  Output, Opt. Trajectory: xtc trr trj gro g96 pdb cpt  
-extr   extreme.pdb  Output, Opt. Trajectory: xtc trr trj gro g96 pdb cpt  
-over   overlap.xvg  Output, Opt! xvgr/xmgr file  
-inpr    inprod.xpm  Output, Opt. X PixMap compatible matrix file  
  
Option       Type   Value   Description  
------------------------------------------------------  
-[no]h       bool   no      Print help info and quit  
-nice        int    19      Set the nicelevel  
-b           time   0       First frame (ps) to read from trajectory  
-e           time   0       Last frame (ps) to read from trajectory  
-dt          time   0       Only use frame when t MOD dt = first time (ps)  
-tu          enum   ps      Time unit: ps, fs, ns, us, ms or s  
-[no]w       bool   no      View output xvg, xpm, eps and pdb files  
-[no]xvgr    bool   yes     Add specific codes (legends etc.) in the output  
                            xvg files for the xmgrace program  
-first       int    1       First eigenvector for analysis (-1 is select)  
-last        int    10      Last eigenvector for analysis (-1 is till the  
                            last)  
-skip        int    1       Only analyse every nr-th frame  
-max         real   0       Maximum for projection of the eigenvector on the  
                            average structure, max=0 gives the extremes  
-nframes     int    2       Number of frames for the extremes output  
-[no]split   bool   no      Split eigenvector projections where time is zero  
-[no]entropy bool   no      Compute entropy according to the Quasiharmonic  
                            formula or Schlitter's method.  
-temp        real   298.15  Temperature for entropy calculations  
-nevskip     int    6       Number of eigenvalues to skip when computing the  
                            entropy due to the quasi harmonic approximation.  
                            When you do a rotational and/or translational fit  
                            prior to the covariance analysis, you get 3 or 6  
                            eigenvalues that are very close to zero, and  
                            which should not be taken into account when  
                            computing the entropy.  
  
trn version: GMX_trn_file (double precision)  
Read mass weighted reference structure with 54 atoms from sss_1000_eigenvec.trr  
Read mass weighted average/minimum structure with 54 atoms from sss_1000_eigenvec.trr  
Read 162 eigenvectors (for 54 atoms)  
  
Read 162 eigenvalues from sss_1000_eigenval.xvg  
Read mass weighted reference structure with 54 atoms from sss_1000_eigenvec.trr  
Read mass weighted average/minimum structure with 54 atoms from sss_1000_eigenvec.trr  
Read 162 eigenvectors (for 54 atoms)  
  
Read 162 eigenvalues from sss_1000_eigenval.xvg  
Reading file sss_mdsi_1000.tpr, VERSION 4.0.5 (double precision)  
Reading file sss_mdsi_1000.tpr, VERSION 4.0.5 (double precision)  
  
Note: the structure in sss_mdsi_1000.tpr should be the same  
      as the one used for the fit in g_covar  
  
Select the index group that was used for the least squares fit in g_covar  
Group     0 (      System) has 31748 elements  
...  
Group    20 ( active_site) has    54 elements  
Select a group: 20  
Selected 20: 'active_site'  
  
Select an index group of 54 elements that corresponds to the eigenvectors  
Group     0 (      System) has 31748 elements  
...  
Group    20 ( active_site) has    54 elements  
Select a group: 20  
Selected 20: 'active_site'  
  
RMSD (without fit) between the two average structures: 0.000 (nm)  
  
10 eigenvectors selected for output: 1 2 3 4 5 6 7 8 9 10  
Last frame       2000 time 2000.000    
  
Calculating overlap between eigenvectors of set 2 with eigenvectors  
1 2 3 4 5 6 7 8 9 10  
  
Will compare the covariance matrices using 162 dimensions  
Trace of the two matrices: 6.22756 and 6.22756  
Square root of the traces: 2.49551 and 2.49551  
The overlap of the covariance matrices:  
  normalized:  1.000  
       shape:  1.000  
  
gcq#334: "Aber wenn der Quarterback kommt, um dir die Brille abzunehmen Sag ihm: Danke die bleibt wo sie ist" (Wir sind Helden)  
  
   
  
  
  From: Tsjerk Wassenaar <tsjerkw at gmail.com>  
Subject: Re: [gmx-users] nans in g_anaeig  
To: Discussion list for GROMACS users <gmx-users at gromacs.org>  
Message-ID:  
<8ff898150910271319n5a10949aq13298eebb119c635 at mail.gmail.com>  
Content-Type: text/plain; charset=ISO-8859-1  
  
Hi Alex,  
  
Can you paste the actual sequence of commands you used?  
  
Cheers,  
  
Tsjerk  
  
2009/10/27 alexander yakovenko <yakovenko_a at ukr.net>:  
> Hi all!  
> I run into a problem trying to project trajectory on the eigenvector(s)  
> (with g_anaeig -proj ) from covariace matrix - all projections are nan. The  
> eigenvalues are OK, the g_anaeig -comp -v2 -eig2 -over options works OK so  
> eigenvectors seems are OK  (but g_anaeig -2d fails to nan too). I am using  
> gromacs-4.0.5 on x86-64 CentOS5 (compiled with gcc-34).  
> What can help me to project it properly?  
> Regards,  
> Alex.  
>  
>  
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--  
Tsjerk A. Wassenaar, Ph.D.  
Junior UD (post-doc)  
Biomolecular NMR, Bijvoet Center  
Utrecht University  
Padualaan 8  
3584 CH Utrecht  
The Netherlands  
P: +31-30-2539931  
F: +31-30-2537623  
  
------------------------------  
  
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End of gmx-users Digest, Vol 66, Issue 174  
******************************************  
  
  
  
Alexander Yakovenko  
Institute of Molecular Biology & Genetic of NAS of Ukraine  
03143  
acad.Zabolotnogo str. 150  
Kiev  
Ukraine  
______________________________________________  
E-mail: yakovenko_a at ukr.net  
  
  Хочешь стать успешным? Получи настоящий британский MBA – mba-ukraine.com .
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