Gaussian Accelerated Molecular Dynamics: Theory, Implementation, and Applications.

Yinglong Miao, J Andrew McCammon
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引用次数: 71

Abstract

A novel Gaussian Accelerated Molecular Dynamics (GaMD) method has been developed for simultaneous unconstrained enhanced sampling and free energy calculation of biomolecules. Without the need to set predefined reaction coordinates, GaMD enables unconstrained enhanced sampling of the biomolecules. Furthermore, by constructing a boost potential that follows a Gaussian distribution, accurate reweighting of GaMD simulations is achieved via cumulant expansion to the second order. The free energy profiles obtained from GaMD simulations allow us to identify distinct low energy states of the biomolecules and characterize biomolecular structural dynamics quantitatively. In this chapter, we present the theory of GaMD, its implementation in the widely used molecular dynamics software packages (AMBER and NAMD), and applications to the alanine dipeptide biomolecular model system, protein folding, biomolecular large-scale conformational transitions and biomolecular recognition.

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高斯加速分子动力学:理论、实现和应用。
提出了一种新的高斯加速分子动力学(GaMD)方法,用于同时进行生物分子的无约束增强采样和自由能计算。不需要设置预定义的反应坐标,GaMD可以无限制地增强生物分子的采样。此外,通过构建一个服从高斯分布的升压电位,通过累积扩展到二阶来实现精确的GaMD模拟重加权。从GaMD模拟中获得的自由能分布使我们能够识别生物分子的不同低能态,并定量表征生物分子的结构动力学。在本章中,我们介绍了GaMD的理论,它在广泛使用的分子动力学软件包(AMBER和NAMD)中的实现,以及它在丙氨酸二肽生物分子模型系统、蛋白质折叠、生物分子大规模构象转移和生物分子识别方面的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
2.50
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0.00%
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