生物分子
分子动力学
高斯分布
计算机科学
生物系统
折叠(DSP实现)
生物分子结构
统计物理学
分子生物物理学
计算化学
化学
纳米技术
物理
材料科学
蛋白质结构
工程类
生物
电气工程
生物化学
作者
Yinglong Miao,J. Andrew McCammon
出处
期刊:Annual Reports in Computational Chemistry
日期:2017-01-01
卷期号:: 231-278
被引量:102
标识
DOI:10.1016/bs.arcc.2017.06.005
摘要
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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