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| Research article summary (published 29 Sep 2009): |
Exploring the parameter space of the coarse-grained UNRES force field by random search: selecting a transferable medium-resolution force field.
Full Abstract
We explored the energy-parameter space of our coarse-grained UNRES force field for large-scale ab initio simulations of protein folding, to obtain good initial approximations for hierarchical optimization of the force field with new virtual-bond-angle bending and side-chain-rotamer potentials which we recently introduced to replace the statistical potentials. 100 sets of energy-term weights were generated randomly, and good sets were selected by carrying out replica-exchange molecular dynamics simulations of two peptides with a minimal alpha-helical and a minimal beta-hairpin fold, respectively: the tryptophan cage (PDB code: 1L2Y) and tryptophan zipper (PDB code: 1LE1). Eight sets of parameters produced native-like structures of these two peptides. These eight sets were tested on two larger proteins: the engrailed homeodomain (PDB code: 1ENH) and FBP WW domain (PDB code: 1E0L); two sets were found to produce native-like conformations of these proteins. These two sets were tested further on a larger set of nine proteins with alpha or alpha + beta structure and found to locate native-like structures of most of them. These results demonstrate that, in addition to finding reasonable initial starting points for optimization, an extensive search of parameter space is a powerful method to produce a transferable force field. Copyright 2009 Wiley Periodicals, Inc.
Author information
Author/s: He, Yi (Y); Xiao, Yi (Y); Liwo, Adam (A); Scheraga, Harold A (HA);
Affiliation: Biomolecular Physics and Modeling Group, School of Physics, Huazhong University of Science and Technology, Wuhan 430074, China.
Grants: GM-14312 (Agency:NIGMS NIH HHS)
Journal and publication information
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
Journal: Journal of computational chemistry (J Comput Chem), published in United States. (Language: eng)
Reference: 2009-Oct; vol 30 (issue 13) : pp 2127-35
Dates: Created 2009/08/03; Completed 2009/10/09; Revised 2009/10/13;
PMID: 19242966, status: MEDLINE (last retrieval date: 10/14/2009, IMS Date: )
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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