Suppr超能文献

基于文库的 Monte Carlo 方法对全原子肽进行有效的平衡采样。

Efficient equilibrium sampling of all-atom peptides using library-based Monte Carlo.

机构信息

Department of Computational Biology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA.

出版信息

J Phys Chem B. 2010 May 6;114(17):5870-7. doi: 10.1021/jp910112d.

Abstract

We applied our previously developed library-based Monte Carlo (LBMC) to equilibrium sampling of several implicitly solvated all-atom peptides. LBMC can perform equilibrium sampling of molecules using precalculated statistical libraries of molecular-fragment configurations and energies. For this study, we employed residue-based fragments distributed according to the Boltzmann factor of the optimized potential for liquid simulations all-atom (OPLS-AA) forcefield describing the individual fragments. Two solvent models were employed: a simple uniform dielectric and the generalized Born/surface area (GBSA) model. The efficiency of LBMC was compared to standard Langevin dynamics (LD) using three different statistical tools. The statistical analyses indicate that LBMC is more than 100 times faster than LD not only for the simple solvent model but also for GBSA.

摘要

我们应用了先前开发的基于库的蒙特卡罗(LBMC)方法对几个隐式溶剂化的全原子肽进行平衡采样。LBMC 可以使用预先计算的分子片段构象和能量统计库对分子进行平衡采样。在这项研究中,我们根据优化的液体模拟势能(OPLS-AA)力场描述的各个片段的玻尔兹曼因子分布使用基于残基的片段。我们使用了两种溶剂模型:简单的均匀介电模型和广义 Born/表面积(GBSA)模型。使用三种不同的统计工具比较了 LBMC 和标准朗之万动力学(LD)的效率。统计分析表明,LBMC 不仅对于简单的溶剂模型,而且对于 GBSA 模型,其速度比 LD 快 100 多倍。

相似文献

10
Simulation of peptide folding with explicit water--a mean solvation method.用显式水模拟肽折叠——一种平均溶剂化方法。
Proteins. 1999 Feb 15;34(3):295-302. doi: 10.1002/(sici)1097-0134(19990215)34:3<295::aid-prot3>3.0.co;2-t.

引用本文的文献

5
Equilibrium sampling in biomolecular simulations.生物分子模拟中的平衡采样。
Annu Rev Biophys. 2011;40:41-62. doi: 10.1146/annurev-biophys-042910-155255.

本文引用的文献

3

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验