Thank you for your suggestions Mark and David. 

I have read papers you mentioned. Moreover, I also read the Berk Hess's paper 
in which the NPT & NVT remd was compared (JMB 354/173-183). 

Since I have not  a high T within my temperature distribution (the highest one 
is around 320K), there will be no large pressure input. In Berk's paper, it was 
stated that the fluctuation in volume is negligible in NPT simulation. However, 
due to the low density value at high T, the energy of the system will be high 
leading to a decrease in the overlapping of energy distribution as well as the 
exchange probabilities.

I am looking forward to the implementation of NVT within the temperature 
generator :-)



-----Original Message-----
From: Mark Abraham <[EMAIL PROTECTED]>
To: Discussion list for GROMACS users <gmx-users@gromacs.org>
Date: Sun, 24 Feb 2008 13:34:51 +1100
Subject: Re: [gmx-users] problem with exchange probabilities in remd

OZGE ENGIN wrote:
> Hi all,
> 
> I am performing a remd simulation of a peptide+water system. I have tried 
> different temperature distributions. I am using an NVT ensemble. My 
> temperature coupling constant is 0.1 ps.
> 
> The problem is that upon increasing the temperature difference between the 
> two replicas more than two (290==>294), the exchange probability decreases 
> sharply, app. to 0.03. 

Yep. That's normal for decent-sized explicit-solvent REMD. You can 
choose a lowest temperature spacing that isn't an integer, of course.

> I have changed the exchange frequency in order to get a better exchange 
> probabilities. However, it has not affected the overall exchange 
> probabilities so much. 

The frequency is independent of the probability, at least until you get 
to periods so short that successive attempts are correlated. See Periole 
and Mark, J Chem Phys 126 014903, and for a counter-view, Sindhikara, 
Meng and Roitberg J Chem Phys 128 024103. Both frequency and probability 
affect the exchange acceptance rate, of course.

> Is there anybody who has encountered such a situation?

Yep. Consider seriously how big a temperature range you might need.
There's discussion out there that the increased-sampling effect of the
increased temperature range is outweighed by the ability of the replicas
   to sort themselves as a function of T. See Periole paper above. Thus,
there's no need to go to 800K, like you see implicit-solvent REMD
achieve. 373K is enough to start denaturing proteins in cooking, after
all :-)

Mark
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Ozge Engin
=================================
Computational Science & Engineering
Koc University
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