Re: [gmx-users] different result for entropy with normal mode analysis and schlitter-approximation

2009-04-28 Thread Ran Friedman
Hi Oliver,

I think the eigenvalues in NMA are not the same (there used to be a
factor of 2PI and the mass weighting). Maybe you can try my script from
the user contributions and see if you get something more reasonable (use
to flag -n to indicate that your eigenvalues are from NMA).

Ran.

oliver.k...@uni-duisburg-essen.de wrote:
> Dear Gromacs Users,
> I'm trying to calculate entropies from a md trajectory using g_anaeig.
> There are two ways to go (question at bottom ;-):
>
> 1. NMA and quasi-harmonic approximation: Use a bunch of snapshots (maybe
> 5-20), minimize each of them to very low maximum forces, calculate the
> hessian matrix, diagonalize and use g_anaeig to calculate the entropy from
> the resulting eigenvector-matrix assuring that there are no negative
> eigenvalues in the eigenvectors 7 to N (first six eigenvectors will not be
> part of the calculation). - as follows:
>
> # Energy Minimization
> grompp_d -f em_nma.mdp -t md.fitted.trr -time $t -c md.gro -p protein.top
> -o $t.em.tpr
> mdrun_d -v -deffnm $t.em -table table6-12_4r_doublePrecision.xvg -tablep
> table6-12_4r_doublePrecision.xvg
>
> # Hessian Matrix
> grompp_d -f nma.mdp -t $t.em.trr -c md.gro -p protein.top -o $t.hessian.tpr
> mdrun_d -v -deffnm $t.hessian -table table6-12_4r_doublePrecision.xvg
> -tablep table6-12_4r_doublePrecision.xvg
>
> # Diagonalization of the Hessian
> g_nmeig_d -f $t.hessian.mtx -s $t.hessian.tpr -first 1 -last 1 -v
> $t.eigenvec.trr
>
> # Entropy calculation - vibrational (without first 6 modes)
> g_anaeig_d -v $t.eigenvec.trr -f $t.em.trr -s $t.hessian.tpr -temp 298.15
> -nevskip 6 -entropy 2>&1 | tee out.anaeig.Svib.$t
>
> grep 'The Entropy due to the Quasi Harmonic approximation is'
> out.anaeig.Svib.$t | awk '{print $10}' >> result/Svib.nma
>
> I use distance-dependent dielectric e=4r, but that doesn't make much
> difference.
>
> 2. Schlitter approximation based on covariance: Use all snapshots of the
> md trajectory, calculate the covariance matrix (g_covar), - diagonalized
> matrix will be returned -, and subsequently calculate the entropy with
> g_anaeig. - as follows:
>
> # covariance matrix as time average over configurations
> g_covar_d -f md$i.trr -s md.gro -v md$i.eigenvec.trr -mwa -av
> average.$i.pdb -ascii covar.$i -xpm covar.$i -xpma covara.$i -l covar.$i
> -o md$i.eigenval.xvg <<- EOF
> 0
> 0
> EOF
>
> # Analysis of the principal components (and entropy calculation)
> g_anaeig -v md$i.eigenvec.trr -f md$i.trr -s md.gro -first 1 -last -1
> -entropy > out.anaeig.schlitter.$i
>
> grep 'The Entropy due to the Schlitter formula is' out.anaeig.schlitter.$i
> | awk '{print $9}' >> result/Svib.schlitter
>
> Somebody before mentioned, he would like to have the undiagonalized
> covariance matrix as input for the entropy calculation, I think, that
> doesn't make a difference, am I right?
>
> So, practically, I tried to reproduce entropy from Schlitter 1993. A
> simulation of a deca-alanine-helix in vacuo in the old gmx force-field
> with vdw-cut-off etc. and I could reproduce the value of ca. 700
> kJoule/mol K with the Schlitter approximation.
> And now the question, why don't I get the same range of values when doing
> normal-mode analysis (as described above)?
>
> values of the Schlitter-approximation (for different simulation lengths):
> 667.365
> 685.594
> 681.259
> 680.269
> values given by the quasi-harmonic approximation when calculating from
> covariance:
> 582.731
> 596.97
> 590.71
> 589.07
>
> values from NMA and quasi-harmonic approximation (for 3 snapshots):
> 21662.9
> 21674.9
> 21662.9
>
> So, there is a factor of round 30 between hessian- and covariance-based
> entropy!?
>
> I'm totally stuck with this.
> If anybody has experience with this phenomenon, any help is appreciated.
> Thanx in advance
>
> Oliver Kuhn
>
>
>
>
>
>
>
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>   


-- 
--
Ran Friedman
Postdoctoral Fellow
Computational Structural Biology Group (A. Caflisch)
Department of Biochemistry
University of Zurich
Winterthurerstrasse 190
CH-8057 Zurich, Switzerland
Tel. +41-44-6355593
Email: r.fried...@bioc.unizh.ch
Skype: ran.friedman
--

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[gmx-users] different result for entropy with normal mode analysis and schlitter-approximation

2009-04-28 Thread oliver . kuhn
Dear Gromacs Users,
I'm trying to calculate entropies from a md trajectory using g_anaeig.
There are two ways to go (question at bottom ;-):

1. NMA and quasi-harmonic approximation: Use a bunch of snapshots (maybe
5-20), minimize each of them to very low maximum forces, calculate the
hessian matrix, diagonalize and use g_anaeig to calculate the entropy from
the resulting eigenvector-matrix assuring that there are no negative
eigenvalues in the eigenvectors 7 to N (first six eigenvectors will not be
part of the calculation). - as follows:

# Energy Minimization
grompp_d -f em_nma.mdp -t md.fitted.trr -time $t -c md.gro -p protein.top
-o $t.em.tpr
mdrun_d -v -deffnm $t.em -table table6-12_4r_doublePrecision.xvg -tablep
table6-12_4r_doublePrecision.xvg

# Hessian Matrix
grompp_d -f nma.mdp -t $t.em.trr -c md.gro -p protein.top -o $t.hessian.tpr
mdrun_d -v -deffnm $t.hessian -table table6-12_4r_doublePrecision.xvg
-tablep table6-12_4r_doublePrecision.xvg

# Diagonalization of the Hessian
g_nmeig_d -f $t.hessian.mtx -s $t.hessian.tpr -first 1 -last 1 -v
$t.eigenvec.trr

# Entropy calculation - vibrational (without first 6 modes)
g_anaeig_d -v $t.eigenvec.trr -f $t.em.trr -s $t.hessian.tpr -temp 298.15
-nevskip 6 -entropy 2>&1 | tee out.anaeig.Svib.$t

grep 'The Entropy due to the Quasi Harmonic approximation is'
out.anaeig.Svib.$t | awk '{print $10}' >> result/Svib.nma

I use distance-dependent dielectric e=4r, but that doesn't make much
difference.

2. Schlitter approximation based on covariance: Use all snapshots of the
md trajectory, calculate the covariance matrix (g_covar), - diagonalized
matrix will be returned -, and subsequently calculate the entropy with
g_anaeig. - as follows:

# covariance matrix as time average over configurations
g_covar_d -f md$i.trr -s md.gro -v md$i.eigenvec.trr -mwa -av
average.$i.pdb -ascii covar.$i -xpm covar.$i -xpma covara.$i -l covar.$i
-o md$i.eigenval.xvg <<- EOF
0
0
EOF

# Analysis of the principal components (and entropy calculation)
g_anaeig -v md$i.eigenvec.trr -f md$i.trr -s md.gro -first 1 -last -1
-entropy > out.anaeig.schlitter.$i

grep 'The Entropy due to the Schlitter formula is' out.anaeig.schlitter.$i
| awk '{print $9}' >> result/Svib.schlitter

Somebody before mentioned, he would like to have the undiagonalized
covariance matrix as input for the entropy calculation, I think, that
doesn't make a difference, am I right?

So, practically, I tried to reproduce entropy from Schlitter 1993. A
simulation of a deca-alanine-helix in vacuo in the old gmx force-field
with vdw-cut-off etc. and I could reproduce the value of ca. 700
kJoule/mol K with the Schlitter approximation.
And now the question, why don't I get the same range of values when doing
normal-mode analysis (as described above)?

values of the Schlitter-approximation (for different simulation lengths):
667.365
685.594
681.259
680.269
values given by the quasi-harmonic approximation when calculating from
covariance:
582.731
596.97
590.71
589.07

values from NMA and quasi-harmonic approximation (for 3 snapshots):
21662.9
21674.9
21662.9

So, there is a factor of round 30 between hessian- and covariance-based
entropy!?

I'm totally stuck with this.
If anybody has experience with this phenomenon, any help is appreciated.
Thanx in advance

Oliver Kuhn







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Please search the archive at http://www.gromacs.org/search before posting!
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