4.7 Article

Improved Statistical Sampling and Accuracy with Accelerated Molecular Dynamics on Rotatable Torsions

期刊

JOURNAL OF CHEMICAL THEORY AND COMPUTATION
卷 8, 期 11, 页码 4004-4012

出版社

AMER CHEMICAL SOC
DOI: 10.1021/ct3004194

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资金

  1. National Science Foundation [MCB-0953061]
  2. Georgia Cancer Coalition (GCC) scholar award
  3. Georgia State University
  4. IBM
  5. Div Of Molecular and Cellular Bioscience
  6. Direct For Biological Sciences [0953061] Funding Source: National Science Foundation

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In enhanced sampling techniques, the precision of the reweighted ensemble properties is often decreased due to large variation in statistical weights and reduction in the effective sampling size. To abate this reweighting problem, here, we propose a general accelerated molecular dynamics (aMD) approach in which only the rotatable dihedrals are subjected to aMD (RaMD), unlike the typical implementation wherein all dihedrals are boosted,(all-aMD). Nonrotatable and improper dihedrals are marginally important to conformational changes or the different rotameric states. Not accelerating them avoids the sharp increases in the potential energies due to small deviations from their minimum energy conformations and leads to improvement in the precision of RaMD. We present benchmark studies on two model dipeptides, Ace-Ala-Nme and Ace-Trp-Nme, simulated with normal MD, all-aMD, and RaMD. We carry out a systematic comparison between the performances of both forms of aMD using a theory that allows quantitative estimation of the effective number of sampled points and the associated uncertainty. Our results indicate that, for the same level of acceleration and simulation length, as used in all-aMD, RaMD results in significantly less loss in the effective sample size and, hence, increased accuracy in the sampling of phi-psi space. RaMD yields an accuracy comparable to that of all-aMD, from simulation lengths 5 to 1000 times shorter, depending on the peptide and the acceleration level. Such improvement in speed and accuracy over all-aMD is highly remarkable, suggesting RaMD as a promising method for sampling larger biomolecules.

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