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通过预测性统计建模分析理解非活化亚甲基上的催化对映选择性C-H键氧化反应

Understanding Catalytic Enantioselective C-H Bond Oxidation at Nonactivated Methylenes Through Predictive Statistical Modeling Analysis.

作者信息

Call Arnau, Palone Andrea, Liles Jordan P, Romer Natalie P, Read Jacquelyne A, Luis Josep M, Sigman Matthew S, Bietti Massimo, Costas Miquel

机构信息

Institut de Química Computacional i Catàlisi (IQCC) and Departament de Química, Universitat de Girona, Campus Montilivi, Girona E-17071, Catalonia, Spain.

Department of Chemistry, University of Utah, Salt Lake City, Utah 84112, United States.

出版信息

ACS Catal. 2025 Jan 22;15(3):2110-2123. doi: 10.1021/acscatal.4c05659. eCollection 2025 Feb 7.

Abstract

Enantioselective C(sp)-H bond oxidation is a powerful strategy for installing functionality in C(sp)-H rich molecules. Site- and enantioselective oxidation of strong C-H bonds in monosubstituted cyclohexanes with hydrogen peroxide catalyzed by aminopyridine manganese catalysts in combination with alkanoic acids has been recently described. Mechanistic uncertainties and nonobvious enantioselectivity trends challenge development of the full potential of this reaction as a powerful synthetic tool. Herein, we apply predictive statistical analysis to identify mechanistically informative correlations that provide valuable reaction understanding and will guide the future development and optimization of enantioselective C-H oxidation reactions.

摘要

对映选择性C(sp)−H键氧化是一种在富含C(sp)−H的分子中引入官能团的有效策略。最近报道了在氨基吡啶锰催化剂与链烷酸的组合作用下,用过氧化氢对单取代环己烷中的强C−H键进行位点和对映选择性氧化。机理上的不确定性和不明显的对映选择性趋势挑战了将该反应充分发展成为一种强大合成工具的进程。在此,我们应用预测性统计分析来识别具有机理信息的相关性,这些相关性能提供有价值的反应理解,并将指导对映选择性C−H氧化反应的未来发展和优化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/828b/11812016/876eba626674/cs4c05659_0001.jpg

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