A Free-Energy Approach for All-Atom Protein Simulation

被引:23
|
作者
Verma, Abhinav [2 ]
Wenzel, Wolfgang [1 ]
机构
[1] Forschungszentrum Karlsruhe, Inst Nanotechnol, D-76021 Karlsruhe, Germany
[2] Forschungszentrum Karlsruhe, Inst Comp Sci, D-76021 Karlsruhe, Germany
关键词
STOCHASTIC OPTIMIZATION METHODS; REPLICA-EXCHANGE SIMULATIONS; STRUCTURE PREDICTION; MOLECULAR-DYNAMICS; FOLDING SIMULATIONS; FORCE-FIELDS; MEAN FORCE; BETA; PEPTIDES; MINIMIZATION;
D O I
10.1016/j.bpj.2008.12.3921
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
All-atom free-energy methods offer a promising alternative to kinetic molecular mechanics simulations of protein folding and association. Here we report an accurate, transferable all-atom biophysical force field (PFF02) that stabilizes the native conformation of a wide range of proteins as the global optimum of the free-energy landscape. For 32 proteins of the ROSETTA decoy set and six proteins that we have previously folded with PFF01, we find near-native conformations with an average backbone RMSD of 2.14 angstrom to the native conformation and an average Z-score of -3.46 to the corresponding decoy set. We used nonequilibrium sampling techniques starting from completely extended conformations to exhaustively sample the energy surface of three nonhomologous hairpin-peptides, a three-stranded beta-sheet, the all-helical 40 amino-acid HIV accessory protein, and a zinc-finger beta beta alpha motif, and find near-native conformations for the minimal energy for each protein. Using a massively parallel evolutionary algorithm, we also obtain a near-native low-energy conformation for the 54 amino-acid engrailed homeodomain. Our force field thus stabilized near-native conformations for a total of 20 proteins of all structure classes with an average RMSD of only 3.06 angstrom to their respective experimental conformations.
引用
收藏
页码:3483 / 3494
页数:12
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