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

页码：8894 / 8901

页数：8

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