Efficient Monte Carlo methods for cyclic peptides

被引:55
作者
Wu, MG [1 ]
Deem, MW [1 ]
机构
[1] Univ Calif Los Angeles, Dept Chem Engn, Los Angeles, CA 90095 USA
基金
美国国家科学基金会;
关键词
D O I
10.1080/00268979909482855
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 present a new, biased Monte Carlo scheme for simulating complex, cyclic peptides. Backbone atoms are equilibrated with a biased rebridging scheme, and side-chain atoms are equilibrated with a look-ahead configurational bias Monte Carlo. Parallel tempering is shown to be an important ingredient in the construction of an efficient approach.
引用
收藏
页码:559 / 580
页数:22
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