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分布式副本采样

Distributed Replica Sampling.

作者信息

Rodinger Tomas, Howell P Lynne, Pomès Régis

机构信息

Structural Biology and Biochemistry, The Hospital for Sick Children, 555 University Ave., Toronto, Ontario, Canada M5G 1X8, Department of Biochemistry, University of Toronto, 1 King's College Circle, Toronto, Ontario, Canada M5S 1A8, and Institute of Biomaterials and Biomedical Engineering, University of Toronto, 4 Taddle Creek Road, Rm. 407, Rosebrugh Building, Toronto, Ontario, Canada M5S 3G9.

出版信息

J Chem Theory Comput. 2006 May;2(3):725-31. doi: 10.1021/ct050302x.

Abstract

We present a simple and general scheme for efficient Boltzmann sampling of conformational space by computer simulation. Multiple replicas of the system differing in temperature T or reaction coordinate λ are simulated independently. In addition, occasional stochastic moves of individual replicas in T or λ space are considered one at a time on the basis of a generalized Hamiltonian containing an extra potential energy term or bias that depends on the distribution of all replicas. The algorithm is inherently suited for shared or heterogeneous computing platforms such as a distributed network.

摘要

我们提出了一种简单通用的方案,通过计算机模拟对构象空间进行高效的玻尔兹曼采样。对温度T或反应坐标λ不同的系统的多个副本进行独立模拟。此外,基于包含一个额外势能项或偏差(取决于所有副本的分布)的广义哈密顿量,一次考虑单个副本在T或λ空间中的偶尔随机移动。该算法天生适用于共享或异构计算平台,如分布式网络。

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