生物分子
分子动力学
高斯分布
折叠(DSP实现)
生物系统
统计物理学
计算机科学
能源景观
能量(信号处理)
物理
化学
伞式取样
采样(信号处理)
计算化学
纳米技术
材料科学
生物
工程类
量子力学
计算机视觉
生物化学
电气工程
滤波器(信号处理)
作者
Yinglong Miao,Victoria A. Feher,J. Andrew McCammon
标识
DOI:10.1021/acs.jctc.5b00436
摘要
A Gaussian accelerated molecular dynamics (GaMD) approach for simultaneous enhanced sampling and free energy calculation of biomolecules is presented. By constructing a boost potential that follows Gaussian distribution, accurate reweighting of the GaMD simulations is achieved using cumulant expansion to the second order. Here, GaMD is demonstrated on three biomolecular model systems: alanine dipeptide, chignolin folding, and ligand binding to the T4-lysozyme. Without the need to set predefined reaction coordinates, GaMD enables unconstrained enhanced sampling of these biomolecules. Furthermore, the free energy profiles obtained from reweighting of the GaMD simulations allow us to identify distinct low-energy states of the biomolecules and characterize the protein-folding and ligand-binding pathways quantitatively.
科研通智能强力驱动
Strongly Powered by AbleSci AI