Yeah sure. There are several methods to trick your peptide to fold, but often 
you loose the real kinetics by using them. I think a 230 residues protein is 
too big to study folding kinetics through MD (because of the folding kinetics, 
not the size of the system). With topology based potenitials (Go-like models) 
you surely can do it, but take into account the the core asumption there is 
that the energy landscape of your peptide is perfectly funneled to the native 
state, which is a very good approximation for small protein (like a 100 
residues) but not so nice for bigger proteins. In fact, even small proteins 
have intermediate states which makes the energy landscape somehow rugged (the 
engrailed homeodomain, the trp repressor, etc). Besides that, it is not a 
trivial task to go from the reduced representation to real kinetic constants. 
Maybe if you are interested in comparison rather than absolute values you can 
be lucky with the Go-modeling. If that is the case maybe you should try the 
SMOG potential.... it is very fast.

 

regards
----Mensaje original---- De: bharat.85.m...@gmail.com Fecha: 30-dic-2011 22:45 
Para: "Discussion list for GROMACS users"<gmx-users@gromacs.org> Asunto: Re: 
[gmx-users] Re: Folding rate  The protein that I am dealing with is a 230 amino 
acid protein. I have come across some methods that used reduced space model of 
protein such as CABS for locating the protein folding pathway. An another paper 
describes about using Go model together with Rigid body dynamics for finding 
protein folding pathway.  
On Sat, Dec 31, 2011 at 10:23 AM, felmer...@uchile.cl <felmer...@uchile.cl> 
wrote:


I small thing to consider with that particular paper is that DE Shaw has a 
special machine (Anton) to do those calculations, so in principle it is not 
possible to reproduce them (in a reasonable amount of time) on a regular 
(super)computer. I think your best shot, if your protein is small enough, is to 
use accelerated MD mixed with some good old kramer's theory. See for example J. 
Chem. Theory Comput., 2011, 7 (3), pp 575&ndash;581.

In any case it seems to me like too much of an effort, in the end here you 
really rely in the accuracy of the forcefield.

Regards

----Mensaje original---- De: jmda...@itqb.unl.pt Fecha: 30-dic-2011 21:40 Para: 
"Discussion list for GROMACS users"<gmx-users@gromacs.org> Asunto: Re: 
[gmx-users] Re: Folding rate

  As it was pointed out, the literature is vast on this subject.






Moreover, calculating folding rates from simulations is not a trivial subject, 
and it relies on many assumptions (e.g. what is considered "folded", that the 
sampling obtained is enough). Even for small peptides, "enough sampling" may 
mean several hundreds of microsseconds, something not accessible to everyone.

For a very recent article on the subject, check out:

Lindorff-Larsen, K., Piana, S., Dror, R.O., Shaw, D.E. (2011) How Fast-Folding 
Proteins Fold, Science 334:517-520.
http://dx.doi.org/10.1126/science.1208351

Regards,
Jo&atilde;o

On Sat, Dec 31, 2011 at 12:19 AM, KS Rotondi <k...@chemistry.umass.edu> wrote:


As Justin pointed out, there is a vast literature on this topic, you need to 
ask yourself what you seek, and look at many review articles to find some 
reasonable starting points for you own needs and designs. Beyond that, it's a 
lot of hard work...



On Dec 30, 2011, at 7:04 PM, bharat gupta wrote:

Thanks for your advice... Could you please refer me some papers regarding this 
....
On Sat, Dec 31, 2011 at 8:17 AM, KS Rotondi <k...@chemistry.umass.edu> wrote:
No, there is no way to use such data to determine the folding rate of the 
intact protein. If you used a fragment approach you could potentially (read 
lots of papers on REMD) isolate nucleation sites, but minus the tertiary 
interaction scheme you could not tell a compelling story. Now, if you want to 
find nucleation sites and see if there are spatially proximal sites and 
simulate them together... You might begin to tell a story.  Ken

  On Dec 30, 2011, at 6:09 PM, Justin A. Lemkul wrote: 
  bharat gupta wrote:
Thanks for your reply. I want to whether does it make any sense or is it 
possible to simulate fragments of proteins and find their folding rate and then 
correlate it to folding rate of whole protein ??
 Simulating arbitrary parts of a protein may or may not produce any relevant 
information, likely the latter.  Independently folding domains might be 
simulated in isolation, but if there is a chance that the peptide sequences 
have any effect on neighboring residues or even more distal sites, you'll never 
produce anything useful.  -Justin 
On Sat, Dec 31, 2011 at 8:00 AM, Justin A. Lemkul <jalem...@vt.edu 
<mailto:jalem...@vt.edu>> wrote:   bharat gupta wrote:       Hi,       I want 
to know whether it's possible to calculate the folding       rate of 20 residue 
peptide folding into a beta-hairpin using       gromacs ??   Anything is 
possible ;)  But seriously, there is existing literature   on such topics, I 
suspect you can find methodology that will suit   your needs.   -Justin   --    
 ==============================__==========   Justin A. Lemkul   Ph.D. 
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