AMBER Archive (2008)Subject: SV: SV: AMBER: Correlation functions from iRED analysis
From: Samuel Genheden (a03samge) (a03samge_at_student.his.se) 
Date: Thu Jun 19 2008 - 15:06:17 CDT
 
 
 
 
Hello,
 
 
 
It works with "normal" autocorrelation function but not when I try to use the iRED functionality.
 
 
 
/ Samuel
 
 ________________________________
 
 Från: owner-amber_at_scripps.edu genom fatima.chami_at_durham.ac.uk
 
Skickat: to 2008-06-19 18:05
 
Till: amber_at_scripps.edu
 
Ämne: Re: SV: AMBER: Correlation functions from iRED analysis
 
 Quoting "Samuel Genheden (a03samge)" <a03samge_at_student.his.se>:
 
 > Hello,
 
> 
 
> I have 138 residues in my protein but I have 20 prolines on which there is no
 
> N-H vector so  I'm only defining 128 vectors, although the names of the
 
> vectors follows the residue number so the last vector is named v138. I think
 
> that the names of the vectors should not matter, or?
 
 not at all ...
 
 did u resolve your time correlation issue?
 
 > 
 
> / Samuel
 
>
 
> ________________________________
 
>
 
> Från: owner-amber_at_scripps.edu genom fatima.chami_at_durham.ac.uk
 
> Skickat: to 2008-06-19 15:43
 
> Till: amber_at_scripps.edu
 
> Ämne: RE: AMBER: Correlation functions from iRED analysis
 
>
 
>
 
>
 
> Hi Samuel,
 
>
 
> Quoting "Samuel Genheden (a03samge)" <a03samge_at_student.his.se>:
 
>
 
> > Helo,
 
> >
 
> > I still get identical correlation functions for all the N-H vectors, even
 
> > though I do a RMS fit. And I thought one of the advantages of doing an
 
> iRED
 
> > analysis was that I should not do an RMS fit. Isn't that correct
 
>
 
> likewise, I thought there is no need to alignment of the snapshots
 
> it is so vague in the manual... I am having the same issue with this cal.
 
>
 
>  is it 128 N-H vectors or 138 cause  your script shows 138 N-H vectors and
 
> compute 128 eigenvectors ...should not they be same number!
 
>
 
>
 
> best wishes
 
> fatima
 
> >
 
> > / Samuel
 
> >
 
> >
 
> > -----Original Message-----
 
> > From: owner-amber_at_scripps.edu on behalf of Myunggi Yi
 
> > Sent: Thu 6/19/2008 2:52 PM
 
> > To: amber_at_scripps.edu
 
> > Subject: Re: AMBER: Correlation functions from iRED analysis
 
> >
 
> > On Thu, Jun 19, 2008 at 6:22 AM, Samuel Genheden (a03samge) <
 
> > a03samge_at_student.his.se> wrote:
 
> >
 
> > >
 
> > > Hello, Amber users
 
> > >
 
> > > I'm studying a protein using MD and would like to calculate correlation
 
> > > functions with the iRED method in order to compare order parameters from
 
> > > NMR. My protein is 138 residues long and contains 10 prolines, and
 
> > therefore
 
> > > I have 128 N-H vectors. I'm using Amber10. My input file looks like
 
> this:
 
> > >
 
> > > trajin ../mdcrd5.gz
 
> > > trajin ../mdcrd6.gz
 
> > > vector v2 :2_at_N ired :2_at_H
 
> > > vector v3 :3_at_N ired :3_at_H
 
> > > ..
 
> > > vector v138 :138_at_N ired :138_at_H
 
> > > matrix ired name matired order 2
 
> > > analyze matrix matired vecs 128 out ired.vec
 
> > > vector v2 :2_at_N corrired :2_at_H order 2 modes ired.vec beg 1 end 128 npair
 
> 1
 
> > > vector v3 :3_at_N corrired :3_at_H order 2 modes ired.vec beg 1 end 128 npair
 
> 2
 
> > > ..
 
> > > vector v138 :138_at_N corrired :138_at_H order 2 modes ired.vec beg 1 end 128
 
> > > npair 128
 
> > > analyze timecorr vec1 v2 tstep 10.0 tcorr 10000 out Ired/v2.out
 
> > > analyze timecorr vec1 v3 tstep 10.0 tcorr 10000 out Ired/v3.out
 
> > > ..
 
> > > analyze timecorr vec1 v138 tstep 10.0 tcorr 10000 out Ired/v138.out
 
> > >
 
> > > (I've have also tried to break it up in two ptraj scripts, since the
 
> > manual
 
> > > is a little bit vague if this is neccessary.) The problem is that all
 
> the
 
> > > correlation functions calculated, v2.out, v3.out, .. v138.out is the
 
> same,
 
> > > i.e. all the output files contains the same numbers. What am I doing
 
> > wrong?
 
> > > I can hardly believe that all the correlation functions should be
 
> > identical.
 
> > >
 
> > > And when I'm at writing - what is the best way to obtain the order
 
> > > parameters from the correlation functions?
 
> > >
 
> >
 
> > To get the generalized order parameters, you need to calculate
 
> > auto-correlation functions after "rms fitting".
 
> > Then fit your graph with single or double exponential functions.
 
> > The plateau corresponds to the S^2.
 
> >
 
> > >
 
> > > Best regards, Samuel
 
> > >
 
> >
 
> >
 
> >
 
> > --
 
> > Best wishes,
 
> >
 
> > Myunggi Yi PhD
 
> > ==================================
 
> > KLB 419
 
> > Institute of Molecular Biophysics
 
> > Florida State University
 
> > Tallahassee, FL 32306
 
> >
 
> > Office: (850) 645-1334
 
> > http://www.scs.fsu.edu/~myunggi
 
> >
 
> >
 
>
 
>
 
> --
 
> Dr. F.Chami
 
> Science Lab.
 
> Department of Chemistry
 
> Durham University
 
> South Road Durham, DH 1 4 LE
 
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>
 
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