Methods for exploring reaction space in molecular systems 论文

2017Wiley Interdisciplinary Reviews Computational Molecular Science引用 275
Machine Learning in Materials ScienceProtein Structure and DynamicsComputational Drug Discovery Methods

详细信息

发表期刊/会议
Wiley Interdisciplinary Reviews Computational Molecular Science
发表日期
2017-11-16
发表年份
2017

关键词

Machine Learning in Materials ScienceProtein Structure and DynamicsComputational Drug Discovery Methods

摘要

The area of reaction mechanism discovery simulation has taken considerable strides in recent years. Novel methods that make hypotheses for elementary steps and complementary means for reaction path and transition state (TS) optimization are lowering the amount of chemical intuition and user effort required to explore reaction networks. The resulting networks lead from reactants to reactive intermediates and products, and are becoming closer representations of physical mechanisms involved in experiments. This review describes several of these approaches, which are categorized based on their overarching TS finding strategies. Future advances are discussed that may revolutionize the ability of simulation to fully predict not just the reaction mechanism but reaction outcomes. WIREs Comput Mol Sci 2018, 8:e1354. doi: 10.1002/wcms.1354 This article is categorized under: Structure and Mechanism > Reaction Mechanisms and Catalysis Software > Quantum Chemistry Software > Simulation Methods