From: Tristan Croll (tristan.croll_at_qut.edu.au)
Date: Tue Oct 21 2014 - 00:36:21 CDT
Hi Kevin,
If you have a system that is poorly fitted to the map, increasing gscale is the last thing you want to do – it will only induce over-fitting. In general, what you want to do is start with a very low value so that the normal dynamics of your protein dominate, and it can escape from poorly-fitting configurations. Only once it’s converged at a low coupling constant should you start to step up the gscale value.
In the end, CCC alone is a fairly crude measure. Nothing compensates for direct inspection of the structure against the map. Look it over, identify the portions that are poorly fitting, and then decide what to do about it. If the problem is obvious (e.g. a domain “bridging” across two distinct density blobs) you might for example consider a short TMD simulation on top of MDFF to bring it back on track.
Cheers,
Tristan
From: owner-namd-l_at_ks.uiuc.edu [mailto:owner-namd-l_at_ks.uiuc.edu] On Behalf Of Kevin C Chan
Sent: Tuesday, 21 October 2014 1:16 PM
To: namd-l_at_ks.uiuc.edu
Subject: namd-l: Improving MDFF results
Dear NAMD users,
I am currently doing MDFF simulations to investigate some conformations of a protein. The simulation was done in a water box and with a low-resolution electron density map (14A). The system is quite large (>1M atoms) so I have just run for several ns.
By analysing RMSD and CCC of the simulation results, the system seems to converge in the first 2 ns. However the CCC of the system relative to the density map started at 0.60 and converged at 0.65 which was sadly not much improvement. I have step-wisely increased the g-scale value from 0.5 to 3.0 and the CCC further improves to 0.69. After that, I am not able to increase the g-scale value as the simulation will be terminated due to “atom moving too fast” (I guess it was due to the increasing magnitude of the additional potential right?). I understand that such a low-resolution density map will definitely limit the maximum CCC that I can have but is there any other ways to improve the MDFF results?
I will greatly appreciate that if anyone could share your experience on this.
Thanks in advance.
Cheers,
Kevin
ukevi_at_gmx.hk<mailto:ukevi_at_gmx.hk>
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