元动力学
分子动力学
能源景观
动力学
成核
范围(计算机科学)
计算机科学
化学
复杂系统
航程(航空)
化学物理
计算化学
纳米技术
统计物理学
材料科学
物理
人工智能
程序设计语言
生物化学
有机化学
量子力学
复合材料
作者
Dhiman Ray,Michele Parrinello
标识
DOI:10.1021/acs.jctc.3c00660
摘要
Metadynamics is a popular enhanced sampling algorithm for computing the free energy landscape of rare events by using molecular dynamics simulation. Ten years ago, Tiwary and Parrinello introduced the infrequent metadynamics approach for calculating the kinetics of transitions across free energy barriers. Since then, metadynamics-based methods for obtaining rate constants have attracted significant attention in computational molecular science. Such methods have been applied to study a wide range of problems, including protein–ligand binding, protein folding, conformational transitions, chemical reactions, catalysis, and nucleation. Here, we review the principles of elucidating kinetics from metadynamics-like approaches, subsequent methodological developments in this area, and successful applications on chemical, biological, and material systems. We also highlight the challenges of reconstructing accurate kinetics from enhanced sampling simulations and the scope of future developments.
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