期刊
JOURNAL OF CHEMICAL PHYSICS
卷 116, 期 16, 页码 7225-7230出版社
AMER INST PHYSICS
DOI: 10.1063/1.1463059
关键词
-
A Monte Carlo algorithm that performs a random walk in energy space has been used to study random coil-helix and random coil-beta sheet transitions in model proteins. This method permits estimation of the density of states of a protein via a random walk on the energy surface, thereby allowing the system to escape from local free-energy minima with relative ease. A cubic lattice model and a knowledge based force field are employed for these simulations. It is shown that, for a given amino acid sequence, the method is able to fold long polypeptides reproducibly. Its results compare favorably with those of annealing and parallel tempering simulations, which have been used before in the same context. This method is used to examine the effect of amino acid sequence and chain length on the folding of several designer polypeptides. (C) 2002 American Institute of Physics.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据