Check Phys Rev Let 96 (2006) art nr 238102. You need simulations with 
reproducible folding so small peptides only. 

Tot Ziens!


Op 4 jan 2012 om 02:35 heeft bharat gupta <bharat.85.m...@gmail.com> het 
volgende geschreven:

> Thanks for all your replies. I want to know this can be done in gromacs or 
> not - using REMD with structure based models generated from SMOG server to 
> study protein folding and unfolding ??. Also, I have a question about how to 
> determine  the exchange probablities for a particular REMD experiment and 
> also how many replicas do we need to consider, does that depend on the 
> temperature list generated from the T_REMD server??
> 
> On Sat, Dec 31, 2011 at 11:36 AM, felmer...@uchile.cl <felmer...@uchile.cl> 
> wrote:
> 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 575–581.
> 
> 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,
> João
> 
> 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. Candidate
>   ICTAS Doctoral Scholar
>   MILES-IGERT Trainee
>   Department of Biochemistry
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> -- 
> ========================================
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> Justin A. Lemkul
> Ph.D. Candidate
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> MILES-IGERT Trainee
> Department of Biochemistry
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> Bharat
> Ph.D. Candidate
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> Biomolecular Engineering Laboratory
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