Re: [gmx-users] eigenvalues

2009-01-09 Thread Tsjerk Wassenaar
Hi,

Well, the trace of the covariance matrix (thus the sum of the
eigenvectors), should say something about overall flexibility. In that
case, the observation that the protein with ligand seems more flexible
than without is not completely incorrect. However, the question arises
regarding the nature of flexibility. Unless you have a perfectly
equilibrated system, the assessment of flexibility using covariance
analysis also includes a conformational drift. You can check
equilibration by looking at the cosine content of the pc's.
Another thing that matters is the structure you use for fitting, which
also influences results from RMSD/RMSF.

I don't know how large your system is, but you might try and do the
covariance analysis on the last 10 ns. For very large systems,
equilibration will likely take even longer.

Hope it helps,

Tsjerk


On Thu, Jan 8, 2009 at 12:33 PM, Xavier Periole x.peri...@rug.nl wrote:
 On Thu, 8 Jan 2009 16:31:01 +0530 (IST)
  sanja...@iitb.ac.in wrote:

 dear gromacs users,

 i did PCA analysis for my trajectory using g_covar and g_anaeig, i have
 taken trajectory of 25ns from both protein alone and protein_withligands(i
 did two simulation one with ligands and other by removing the ligands from
 pdb file)and extracted eigenvalues along first 10 eigenvector, when i
 compared eigenvalues i find that protein_withligands has high values in
 compare to protein alone,  but from literature protein alone is more
 flexible structure and after ligand binding it changes in to more rigid
 structure. primary analysis like RMSD, RMSF calculation showing high
 values for protein alone in compare to protien_withligands. i think i
 should also get higher eigenvalue for protein alone.. is any thing wrong
 with my trajectory. i had used same mdp file for both simulation. i am
 sending values of Ist 10 eigenvector for make my question more clear. any
 suggestion is appreciable

 The eigenvalues alone do not mean much. They probably do not correspond to
 the same eigenvectors. You have to compare the eigenvectors from the two
 simulations. This is possible using a RMSIP (root mean square inner
 product).
 You'll find the definition and more details in papers from Amadei and
 Ceruso.
 hints: Amadei et al., 1999; Ceruso et al., 1999a,b, 2003; Merlino et al.,
 2003; Roccatano et al., 2003

 Best,
 XAvier.

 protein-withligands
 1 1.48497
 2 0.674994
 3 0.410547
 4 0.279636
 5 0.237182
 6 0.213209
 7 0.158359
 8 0.140052
 9 0.126227
 10 0.113618

 protein alone
 1 0.526848
 2 0.351471
 3 0.267247
 4 0.248945
 5 0.222829
 6 0.204475
 7 0.158441
 8 0.12583
 9 0.0970591
 10 0.0923962



 thanks
 sanjay

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 -
 XAvier Periole - PhD

 - Molecular Dynamics Group -
 Computation and NMR
 University of Groningen
 The Netherlands
 -
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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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[gmx-users] Re: Onw question about rlist rvdw rcoulomb and nstlist

2009-01-09 Thread chris . neale
For treatments that require a non-zero buffer length, like shift and  
switch, you do this by setting rlist larger than rcoulomb. Coulomb  
should be fine with PME + straight cutoff and the difference for LJ  
between nstlist=1 and nstlist=10 I expect will be negligible for a 2fs  
timestep. Note that I have never tried shifting or switching in  
gromacs, but charmm-like behaviour here seems 100% possible in gromacs.


Here is some stuff from the manual:
The neighbor search cut-off rlist should be 0.1 to 0.3 nm larger than  
rcoulomb to accommodate for the size of charge groups and diffusion  
between neighbor list updates.
The neighbor search cut-off rlist should be 0.1 to 0.3 nm larger than  
rvdw to accommodate for the size of charge groups and diffusion  
between neighbor list updates.


So yes, it is not possible to use a cutoff for coulombic and LJ while  
having nstlist1 and obtaining results that are identical to those  
that would be obtained with nstlist=1 (or with sufficient 'buffer').  
If you really must do this then set nstlist=1.


Chris.

-- original message --

Usually when we do neighbour searching we should give three  
parameters: cut-off distance, buffer length and
the frequency of the neighbour list updating. But in Gromacs *.mdp  
file it's just required to give rlist,nstlist,
rvdw and rcoumlomb. Where is the buffer length of neighbour searching  
in Gromacs?


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Re: [gmx-users] eigenvalues

2009-01-09 Thread Monika Sharma
Hi.
As far as I know, PCA analysis breaks your total motion in system, or rather
decouples it into respective motions. And by the eigenvectors and the
corresponding eigenvalues it means that this 1st vector or the 2nd vector
contributes this percent of the total motion. It is system-dependent. Is
this really related to the difference in the degrees of freedom of two
different systems (that I am a bit skeptic about) with which you are
confusing it now.
If I am missing something here, then anyone please correct me.
Regards,
Monika

On Thu, Jan 8, 2009 at 4:31 PM, sanja...@iitb.ac.in wrote:

 dear gromacs users,

 i did PCA analysis for my trajectory using g_covar and g_anaeig, i have
 taken trajectory of 25ns from both protein alone and protein_withligands(i
 did two simulation one with ligands and other by removing the ligands from
 pdb file)and extracted eigenvalues along first 10 eigenvector, when i
 compared eigenvalues i find that protein_withligands has high values in
 compare to protein alone,  but from literature protein alone is more
 flexible structure and after ligand binding it changes in to more rigid
 structure. primary analysis like RMSD, RMSF calculation showing high
 values for protein alone in compare to protien_withligands. i think i
 should also get higher eigenvalue for protein alone.. is any thing wrong
 with my trajectory. i had used same mdp file for both simulation. i am
 sending values of Ist 10 eigenvector for make my question more clear. any
 suggestion is appreciable
 protein-withligands
 1 1.48497
 2 0.674994
 3 0.410547
 4 0.279636
 5 0.237182
 6 0.213209
 7 0.158359
 8 0.140052
 9 0.126227
 10 0.113618

 protein alone
 1 0.526848
 2 0.351471
 3 0.267247
 4 0.248945
 5 0.222829
 6 0.204475
 7 0.158441
 8 0.12583
 9 0.0970591
 10 0.0923962



 thanks
 sanjay

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[gmx-users] (no subject)

2009-01-09 Thread Morteza Khabiri
Dear gmx user,

I want to simulate one cytochrome protein inside the water box.
Unfortunately in the stage of pdb2gmx I faced with the following error:
Residue 'HEME' not found in residue topology database
 How could I involve heme group?

Before thanks


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Re: [gmx-users] eigenvalues

2009-01-09 Thread Tsjerk Wassenaar
Hi Monika,

 As far as I know, PCA analysis breaks your total motion in system, or rather
 decouples it into respective motions.

Well, formally, PCA tries to provide an explanation of the total
variance in the system, in terms of a set of new, linearly unrelated
variables.

 And by the eigenvectors and the
 corresponding eigenvalues it means that this 1st vector or the 2nd vector
 contributes this percent of the total motion.

Variance is not motion. I can be running small circles, being very
motile, but having a small variance. I can also steadily go from one
place to another. Though I don't need to be very active, there'll be a
large variance in my position. So the variance is more linked to the
range of conformations and the extent of the conformational space
accessible than of the motility. Only if you can be  sure that there's
no trend - no going from one place to the other - but periodic motions
(running circles), you can say the variance is a measure of motility.

 It is system-dependent. Is
 this really related to the difference in the degrees of freedom of two
 different systems (that I am a bit skeptic about) with which you are
 confusing it now.

No, not of different systems, but of the same (very similar) system(s)
under different conditions, each in equilibrium, yes.

Cheers,

Tsjerk

-- 
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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Re: [gmx-users] eigenvalues

2009-01-09 Thread Monika Sharma
Hi Tsjerk,
Thank you very much for correcting me. And yes that is variance, not the
literal motion.
Regards,
Monika

On Fri, Jan 9, 2009 at 6:50 PM, Tsjerk Wassenaar tsje...@gmail.com wrote:

 Hi Monika,

  As far as I know, PCA analysis breaks your total motion in system, or
 rather
  decouples it into respective motions.

 Well, formally, PCA tries to provide an explanation of the total
 variance in the system, in terms of a set of new, linearly unrelated
 variables.

  And by the eigenvectors and the
  corresponding eigenvalues it means that this 1st vector or the 2nd vector
  contributes this percent of the total motion.

 Variance is not motion. I can be running small circles, being very
 motile, but having a small variance. I can also steadily go from one
 place to another. Though I don't need to be very active, there'll be a
 large variance in my position. So the variance is more linked to the
 range of conformations and the extent of the conformational space
 accessible than of the motility. Only if you can be  sure that there's
 no trend - no going from one place to the other - but periodic motions
 (running circles), you can say the variance is a measure of motility.

  It is system-dependent. Is
  this really related to the difference in the degrees of freedom of two
  different systems (that I am a bit skeptic about) with which you are
  confusing it now.

 No, not of different systems, but of the same (very similar) system(s)
 under different conditions, each in equilibrium, yes.

 Cheers,

 Tsjerk

 --
 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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[gmx-users] Equilibrating systems of rigid molecules

2009-01-09 Thread Jussi Lehtola
Hi,


is it possible to simulate rigid molecules with GROMACS?

It seems that the run option
constraints = all-angles
does this, but using it requires SHAKE, which cannot be used in energy
minimization.

How can one generate suitable starting configurations of rigid
molecules? At least using a configuration minimized without any
constraints seems to crash in the first step since SHAKE cannot satisfy
the constraints in the allowed number of steps..

Also: what is the reference used for the constraints? Is it the force
field parameters, or the starting configuration..?
-- 
--
Jussi Lehtola, FM, Tohtorikoulutettava
Fysiikan laitos, Helsingin Yliopisto
jussi.leht...@helsinki.fi, p. 191 50632
--
Mr. Jussi Lehtola, M. Sc., Doctoral Student
Department of Physics, University of Helsinki, Finland
jussi.leht...@helsinki.fi
--

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Re: [gmx-users] Equilibrating systems of rigid molecules

2009-01-09 Thread David van der Spoel

Jussi Lehtola wrote:

Hi,


is it possible to simulate rigid molecules with GROMACS?

It seems that the run option
constraints = all-angles
does this, but using it requires SHAKE, which cannot be used in energy
minimization.

How can one generate suitable starting configurations of rigid
molecules? At least using a configuration minimized without any
constraints seems to crash in the first step since SHAKE cannot satisfy
the constraints in the allowed number of steps..

Also: what is the reference used for the constraints? Is it the force
field parameters, or the starting configuration..?
Unfortunately this is not possible. With constraints = all-angles you 
still have flexible dihedrals. You can also use all-angles with LINCS if 
you increase the iteration count (lincs-iter).


--
David van der Spoel, Ph.D., Professor of Biology
Molec. Biophys. group, Dept. of Cell  Molec. Biol., Uppsala University.
Box 596, 75124 Uppsala, Sweden. Phone:  +46184714205. Fax: +4618511755.
sp...@xray.bmc.uu.sesp...@gromacs.org   http://folding.bmc.uu.se
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[gmx-users] LINCS warning

2009-01-09 Thread jayant james
Hi!
I am getting a message in the MD log file as below with respect ro LINCS
mentioning deviations. I have constrained all bonds but this problem seems
to pertain to a water molecule. Please suggest a way to oversome this issue.
Thanks
Jayant James

Initializing LINear Constraint Solver

number of constraints is 4539

average number of constraints coupled to one constraint is 2.9

Rel. Constraint Deviation: Max between atoms RMS

Before LINCS 0.048807 517 518 0.006284

After LINCS 0.000551 520 522 0.000113

Going to use C-settle (72211 waters)

wo = 0.888096, wh =0.0559521, wohh = 18.0154, rc = 0.08165, ra = 0.00646074

rb = 0.0512738, rc2 = 0.1633, rone = 1, dHH = 0.1633, dOH = 0.1

Constraining the coordinates at t0-dt (step -1)

Rel. Constraint Deviation: Max between atoms RMS

Before LINCS 0.064202 1746 1747 0.008456

After LINCS 0.000134 2867 2869 0.18

Started mdrun on node 0 Fri Jan 9 12:43:22 2009

Initial temperature: 299.944 K

Step Time Lambda

0 0.0 0.0

Grid: 13 x 20 x 22 cells

Configuring nonbonded kernels...

Testing x86_64 SSE support... present.



Rel. Constraint Deviation: Max between atoms RMS

Before LINCS 0.015569 675 676 0.001354

After LINCS 0.80 520 522 0.14

Energies (kJ/mol)

G96Angle Proper Dih. Improper Dih. LJ-14 Coulomb-14

2.96794e+03 2.64964e+03 9.36791e+02 1.39165e+03 4.77210e+04

LJ (SR) LJ (LR) Coulomb (SR) Coul. recip. Dis. Rest.

6.48697e+05 -9.38928e+03 -4.00822e+06 -4.30837e+05 2.74831e+03

D. R. Viol. (nm) Potential Kinetic En. Total Energy Temperature

1.27022e+01 -3.74134e+06 5.53033e+05 -3.18830e+06 2.99966e+02

Pressure (bar)

-2.82027e+03

Grid: 13 x 21 x 22 cells

Grid: 13 x 21 x 23 cells

Grid: 13 x 21 x 22 cells

Grid: 13 x 21 x 23 cells

Grid: 13 x 21 x 22 cells

Grid: 13 x 21 x 23 cells

Step Time Lambda

5000 5.0 0.0

Rel. Constraint Deviation: Max between atoms RMS

Before LINCS 0.014423 4388 4389 0.001377

After LINCS 0.26 3409 3410 0.06

Energies (kJ/mol)

G96Angle Proper Dih. Improper Dih. LJ-14 Coulomb-14

7.22704e+03 3.55030e+03 2.16248e+03 1.62198e+03 4.75481e+04

LJ (SR) LJ (LR) Coulomb (SR) Coul. recip. Dis. Rest.

5.11526e+05 -9.27329e+03 -3.36888e+06 -4.42423e+05 3.30945e+02

D. R. Viol. (nm) Potential Kinetic En. Total Energy Temperature

4.61447e+00 -3.24661e+06 5.52683e+05 -2.69393e+06 2.99776e+02

Pressure (bar)

2.28435e+01

Grid: 13 x 21 x 22 cells

Grid: 13 x 21 x 23 cells

Step Time Lambda

1 10.0 0.0

Rel. Constraint Deviation: Max between atoms RMS

Before LINCS 0.016397 3336 3337 0.001453

After LINCS 0.25 2689 2691 0.06

Energies (kJ/mol)

G96Angle Proper Dih. Improper Dih. LJ-14 Coulomb-14

7.09757e+03 3.64033e+03 2.11140e+03 1.63821e+03 4.76074e+04

LJ (SR) LJ (LR) Coulomb (SR) Coul. recip. Dis. Rest.

5.13273e+05 -9.28148e+03 -3.37251e+06 -4.42402e+05 2.78608e+02

D. R. Viol. (nm) Potential Kinetic En. Total Energy Temperature

4.20109e+00 -3.24855e+06 5.53775e+05 -2.69477e+06 3.00369e+02

Pressure (bar)

1.19419e+02

Grid: 13 x 21 x 22 cells

Grid: 13 x 21 x 23 cells

Step Time Lambda

15000 15.0 0.0

Rel. Constraint Deviation: Max between atoms RMS

Before LINCS 0.016405 2451 2452 0.001466

After LINCS 0.30 520 522 0.06

-- 
Jayasundar Jayant James

www.chick.com/reading/tracts/0096/0096_01.asp)
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[gmx-users] Best performace with 0 core for PME calcuation

2009-01-09 Thread Nicolas

Hello,

I'm trying to do a benchmark with Gromacs 4 on our cluster, but I don't 
completely understand the results I obtain. The system I used is a 128 
DOPC bilayer hydrated by ~18800 SPC for a total of ~70200 atoms. The 
size of the system is 9.6x9.6x10.1 nm^3. I'm using the following parameters:


   * nstlist = 10
   * rlist = 1
   * Coulombtype = PME
   * rcoulomb = 1
   * fourier spacing = 0.12
   * vdwtype = Cutoff
   * rvdw = 1

The cluster itself has got 2 procs/node connected by Ethernet 100 MB/s. 
I'm using mpiexec to run Gromacs.  When I use -npme 2 -ddorder 
interleave, I get:

ncorePerf (ns/day)PME (%)

   10,000
   20,000
   30,000
   41,3528
   51,8431
   62,0827
   82,0921
   102,2517
   122,0215
   142,2013
   162,0411
   182,1810
   202,299

So, above 6-8 cores, the PP nodes are spending too much time waiting for 
the PME nodes and the perf forms a plateau. When I use -npme 0, I get:


ncorePerf (ns/day)PME (%)
   10,4333
   20,9234
   31,3435
   41,6936
   52,1733
   62,5632
   83,2433
   103,8434
   124,3435
   145,0532
   165,4734
   185,5437
   206,1336

I obtain much better performances when there is no PME nodes, while I 
was expecting the opposite. Does someone have an explanation for that? 
Does that means domain decomposition is useless below a certain real 
space cutoff?  I'm quite confused.


Thanks,
Nicolas


begin:vcard
fn:Nicolas Sapay
n:Sapay;Nicolas
org:University of Calgary;Biological department
adr:;;2500 University drive NW;Calgary;AB;T2N 1N4;Canada
email;internet:nsa...@ucalgary.ca
title:Post-doctoral fellow
tel;work:403-220-6869
x-mozilla-html:TRUE
url:http://moose.bio.ucalgary.ca/
version:2.1
end:vcard

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Re: [gmx-users] Best performace with 0 core for PME calcuation

2009-01-09 Thread Nicolas

Nicolas a écrit :

Hello,

I'm trying to do a benchmark with Gromacs 4 on our cluster, but I 
don't completely understand the results I obtain. The system I used is 
a 128 DOPC bilayer hydrated by ~18800 SPC for a total of ~70200 atoms. 
The size of the system is 9.6x9.6x10.1 nm^3. I'm using the following 
parameters:


   * nstlist = 10
   * rlist = 1
   * Coulombtype = PME
   * rcoulomb = 1
   * fourier spacing = 0.12
   * vdwtype = Cutoff
   * rvdw = 1

The cluster itself has got 2 procs/node connected by Ethernet 100 
MB/s. I'm using mpiexec to run Gromacs.  When I use -npme 2 -ddorder 
interleave, I get:
Little mistake: I used the wrong cluster specifications. There is 4 
cores per nodes and they communicate with Infiniband.

ncorePerf (ns/day)PME (%)

   10,000
   20,000
   30,000
   41,3528
   51,8431
   62,0827
   82,0921
   102,2517
   122,0215
   142,2013
   162,0411
   182,1810
   202,299

So, above 6-8 cores, the PP nodes are spending too much time waiting 
for the PME nodes and the perf forms a plateau. When I use -npme 0, I 
get:


ncorePerf (ns/day)PME (%)
   10,4333
   20,9234
   31,3435
   41,6936
   52,1733
   62,5632
   83,2433
   103,8434
   124,3435
   145,0532
   165,4734
   185,5437
   206,1336

I obtain much better performances when there is no PME nodes, while I 
was expecting the opposite. Does someone have an explanation for that? 
Does that means domain decomposition is useless below a certain real 
space cutoff?  I'm quite confused.


Thanks,
Nicolas


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begin:vcard
fn:Nicolas Sapay
n:Sapay;Nicolas
org:University of Calgary;Biological department
adr:;;2500 University drive NW;Calgary;AB;T2N 1N4;Canada
email;internet:nsa...@ucalgary.ca
title:Post-doctoral fellow
tel;work:403-220-6869
x-mozilla-html:TRUE
url:http://moose.bio.ucalgary.ca/
version:2.1
end:vcard

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Re: [gmx-users] Best performace with 0 core for PME calcuation

2009-01-09 Thread Mark Abraham

Nicolas wrote:

Hello,

I'm trying to do a benchmark with Gromacs 4 on our cluster, but I don't 
completely understand the results I obtain. The system I used is a 128 
DOPC bilayer hydrated by ~18800 SPC for a total of ~70200 atoms. The 
size of the system is 9.6x9.6x10.1 nm^3. I'm using the following 
parameters:


   * nstlist = 10
   * rlist = 1
   * Coulombtype = PME
   * rcoulomb = 1
   * fourier spacing = 0.12
   * vdwtype = Cutoff
   * rvdw = 1

The cluster itself has got 2 procs/node connected by Ethernet 100 MB/s.


Ethernet and Gigabit ethernet are not fast enough to get reasonable 
scaling. There've been quite a few posts on this topic in the last six 
months.


Hmm I see you've corrected your post to refer to Infiniband with four 
cores/node. That should be reasonable, I understand (but search the 
archive).


You should also check that your benchmark calculation is long enough 
that you are measuring a simulation time that isn't being dominated by 
setup costs. Some years ago a non-MD sysadmin complained of poor scaling 
when he was testing over 10 or so MD steps!


I'm using mpiexec to run Gromacs.  When I use -npme 2 -ddorder 
interleave, I get:

ncorePerf (ns/day)PME (%)

   10,000
   20,000
   30,000
   41,3528
   51,8431
   62,0827
   82,0921
   102,2517
   122,0215
   142,2013
   162,0411
   182,1810
   202,299

So, above 6-8 cores, the PP nodes are spending too much time waiting for 
the PME nodes and the perf forms a plateau. 


That's not surprising - the heuristic is that about a third to a quarter 
of the cores want to be PME-only nodes. Of course, that depends on the 
relative size of the real- and reciprocal-space parts of the calculation.



When I use -npme 0, I get:

ncorePerf (ns/day)PME (%)
   10,4333
   20,9234
   31,3435
   41,6936
   52,1733
   62,5632
   83,2433
   103,8434
   124,3435
   145,0532
   165,4734
   185,5437
   206,1336

I obtain much better performances when there is no PME nodes, while I 
was expecting the opposite. Does someone have an explanation for that? 
Does that means domain decomposition is useless below a certain real 
space cutoff?  I'm quite confused.


The relevant observations are for 4,5,6 and 8, for which shared-duty is 
out-performing -npme 2. I think your observations support the conclusion 
that your network hardware is more limiting for PME-only nodes than 
shared-duty nodes. They don't support the conclusion that DD is useless, 
since you haven't compared with PD.


You can play with the PME parameters to shift more load into the 
real-space part - IIRC Carsten suggested a heuristic a few months back.


Mark
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[gmx-users] re : heme group

2009-01-09 Thread sanjay23
hi,
heme group is not an amino acid, pdb2gmx only support the amino acids
because .itp and .dat file in gromacs have only information about protein
atoms not for other. so u just cut the co-ordinate of heme group from your
pdb file save it in other pdb file and give input for Prodrg software it
will return u co-ordinate of heme group in gromacs compatible format. u do
pdb2gmx on only protein part and add both output file(pdb2gmx.gro and
prodrg .gro)and proceed next step. u should read online John E. Kerrigan
GROMACS Tutorial for Drug – Enzyme Complex. it will help u more.
http://www2.umdnj.edu/~kerrigje/pdf_files/trp_drug_tutor.pdf

sanjay

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[gmx-users] eigenvalues

2009-01-09 Thread sanjay23
Hi Tsjerk,
thanks
actually my protein is quite larg (509 aa).i had divided my trajectory in
different part and according to your suggestion i calculated
cosine-content for all, and find that trajectory from 5to15 ns and
18to25ns having cosine value very less about 0.03 in both cases(with and
without ligands), while other combination showing higher values (0.6).so
i think my system is Ist converges around 5ns and maintaining it up to 15
ns after that it may be few conformational fluctuation occurring and
finally it get stabilized from 18to15ns.may that part 15to18ns trajectory
is transition period between to conformational fluctuation. i have also
calculated temp. and pressure during whole simulation and i find that it
is exact Gaussian between 5to25ns.so my confusion is whether i take my
trajectory for ED analysis is from 5to15 or 18to25 or whole from 5to25,
but 5to25 showing value of cosine 0.6.

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