量子
计算机科学
能量(信号处理)
从头算
化学
人工智能
物理
量子力学
有机化学
作者
Xiaoliang Pan,Junjie Yang,Richard Van,Evgeny Epifanovsky,Junming Ho,Jing Huang,Jingzhi Pu,Ye Mei,Kwangho Nam,Yihan Shao
标识
DOI:10.1021/acs.jctc.1c00565
摘要
Despite recent advances in the development of machine learning potentials (MLPs) for biomolecular simulations, there has been limited effort on developing stable and accurate MLPs for enzymatic reactions. Here we report a protocol for performing machine-learning-assisted free energy simulation of solution-phase and enzyme reactions at the ab initio quantum-mechanical/molecular-mechanical (
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