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自动过渡态搜索及其在各类有机反应中的应用。

Automated Transition State Search and Its Application to Diverse Types of Organic Reactions.

作者信息

Jacobson Leif D, Bochevarov Art D, Watson Mark A, Hughes Thomas F, Rinaldo David, Ehrlich Stephan, Steinbrecher Thomas B, Vaitheeswaran S, Philipp Dean M, Halls Mathew D, Friesner Richard A

机构信息

Schrödinger, Inc. , 120 West 45th St., New York, New York 10036, United States.

Schrödinger GmbH , Dynamostrasse 13, D-68165 Mannheim, Germany.

出版信息

J Chem Theory Comput. 2017 Nov 14;13(11):5780-5797. doi: 10.1021/acs.jctc.7b00764. Epub 2017 Oct 17.

Abstract

Transition state search is at the center of multiple types of computational chemical predictions related to mechanistic investigations, reactivity and regioselectivity predictions, and catalyst design. The process of finding transition states in practice is, however, a laborious multistep operation that requires significant user involvement. Here, we report a highly automated workflow designed to locate transition states for a given elementary reaction with minimal setup overhead. The only essential inputs required from the user are the structures of the separated reactants and products. The seamless workflow combining computational technologies from the fields of cheminformatics, molecular mechanics, and quantum chemistry automatically finds the most probable correspondence between the atoms in the reactants and the products, generates a transition state guess, launches a transition state search through a combined approach involving the relaxing string method and the quadratic synchronous transit, and finally validates the transition state via the analysis of the reactive chemical bonds and imaginary vibrational frequencies as well as by the intrinsic reaction coordinate method. Our approach does not target any specific reaction type, nor does it depend on training data; instead, it is meant to be of general applicability for a wide variety of reaction types. The workflow is highly flexible, permitting modifications such as a choice of accuracy, level of theory, basis set, or solvation treatment. Successfully located transition states can be used for setting up transition state guesses in related reactions, saving computational time and increasing the probability of success. The utility and performance of the method are demonstrated in applications to transition state searches in reactions typical for organic chemistry, medicinal chemistry, and homogeneous catalysis research. In particular, applications of our code to Michael additions, hydrogen abstractions, Diels-Alder cycloadditions, carbene insertions, and an enzyme reaction model involving a molybdenum complex are shown and discussed.

摘要

过渡态搜索是与机理研究、反应性和区域选择性预测以及催化剂设计相关的多种计算化学预测的核心。然而,在实践中寻找过渡态的过程是一项繁琐的多步骤操作,需要用户大量参与。在此,我们报告了一种高度自动化的工作流程,旨在以最小的设置开销为给定的基元反应定位过渡态。用户所需的唯一基本输入是分离的反应物和产物的结构。该无缝工作流程结合了化学信息学、分子力学和量子化学领域的计算技术,自动找到反应物和产物中原子之间最可能的对应关系,生成过渡态猜测,通过涉及松弛弦方法和二次同步过渡的组合方法启动过渡态搜索,最后通过分析反应化学键和虚振动频率以及通过内禀反应坐标方法验证过渡态。我们的方法不针对任何特定的反应类型,也不依赖于训练数据;相反,它旨在广泛适用于各种反应类型。该工作流程具有高度的灵活性,允许进行诸如精度选择、理论水平、基组或溶剂化处理等修改。成功定位的过渡态可用于在相关反应中设置过渡态猜测,节省计算时间并提高成功概率。该方法的实用性和性能在有机化学、药物化学和均相催化研究中典型反应的过渡态搜索应用中得到了证明。特别是,展示并讨论了我们的代码在迈克尔加成、氢原子夺取、狄尔斯 - 阿尔德环加成、卡宾插入以及涉及钼配合物的酶反应模型中的应用。

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