Solvent viscosity dependence of the folding rate of a small protein: Distributed computing study

被引:140
作者
Zagrovic, B
Pande, V [1 ]
机构
[1] Stanford Univ, Biophys Program, Stanford, CA 94305 USA
[2] Stanford Univ, Dept Chem, Stanford, CA 94305 USA
关键词
protein folding; Langevin dynamics; distributed computing; solvent viscosity; folding rate;
D O I
10.1002/jcc.10297
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
By using distributed computing techniques and a supercluster of more than 20,000 processors we simulated folding of a 20-residue Trp Cage miniprotein in atomistic detail with implicit GB/SA solvent at a variety of solvent viscosities (gamma). This allowed us to analyze the dependence of folding rates on viscosity. In particular, we focused on the low-viscosity regime (values below the viscosity of water). In accordance with Kramers' theory, we observe approximately linear dependence of the folding rate on 1/gamma for values from 1-10(-1)x that of water viscosity. However, for the regime between 10(-4)-10(-1)x that of water viscosity we observe power-law dependence of the form k similar to y(-1/5). These results suggest that estimating folding rates from molecular simulations run at low viscosity under the assumption of linear dependence of rate on inverse viscosity may lead to erroneous results. (C) 2003 Wiley Periodicals, Inc.
引用
收藏
页码:1432 / 1436
页数:5
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