EFFICIENT MONTE-CARLO METHODS FOR THE COMPUTER-SIMULATION OF BIOLOGICAL MOLECULES

被引:101
作者
BOUZIDA, D
KUMAR, S
SWENDSEN, RH
机构
[1] CARNEGIE MELLON UNIV, DEPT PHYS, PITTSBURGH, PA 15213 USA
[2] UNIV PITTSBURGH, DEPT BIOL SCI, PITTSBURGH, PA 15260 USA
来源
PHYSICAL REVIEW A | 1992年 / 45卷 / 12期
关键词
D O I
10.1103/PhysRevA.45.8894
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
We present an alternative approach to efficient Monte Carlo simulations of biological molecules. By relaxing the usual restriction to Markov processes, we are able to optimize performance while dealing directly with the inhomogeneity and anisotropy inherent in these systems. This approach allows us to sample configurational space more efficiently than with either standard Monte Carlo or molecular-dynamics methods.
引用
收藏
页码:8894 / 8901
页数:8
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