Exploration of the free-energy surface of a three-helix peptide with Stochastic optimization methods

被引:21
作者
Herges, T [1 ]
Schug, A [1 ]
Wenzel, W [1 ]
机构
[1] Forschungszentrum Karlsruhe, Inst Nanotechnol, D-76021 Karlsruhe, Germany
关键词
protein folding; stochastic optimization; biomolecular structure prediction; protein tertiary structure; free-energy landscape;
D O I
10.1002/qua.20052
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
We report our recent efforts to develop all-atom forcefields that can be used to predict the three-dimensional, tertiary structure of proteins using stochastic optimization methods. We have analyzed an approximate free-energy surface of the 36-residue headpiece of the villin protein and found configurations that were lower in energy than the NMR configuration. We adjusted the parameters of the solvent model to stabilize the NMR structure using a decoy approach. We arrived at a free-energy surface that is characterized by a deep folding funnel populated by different three-helix structures, one of which is very similar to the NMR structure. (C) 2004 Wiley Periodicals, Inc.
引用
收藏
页码:854 / 863
页数:10
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