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通过金鸡纳生物碱催化的非对映选择性磺酰胺酰化反应实现去对称化:范围、数据科学和机理研究。

Enantioselective Sulfonimidamide Acylation via a Cinchona Alkaloid-Catalyzed Desymmetrization: Scope, Data Science, and Mechanistic Investigation.

机构信息

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

Department of Synthetic Molecule Process Chemistry, Genentech, Inc., South San Francisco, California 94080, United States.

出版信息

J Am Chem Soc. 2024 Mar 27;146(12):8536-8546. doi: 10.1021/jacs.4c00374. Epub 2024 Mar 13.

Abstract

Methods to access chiral sulfur(VI) pharmacophores are of interest in medicinal and synthetic chemistry. We report the desymmetrization of unprotected sulfonimidamides via asymmetric acylation with a cinchona-phosphinate catalyst. The desired products are formed in excellent yield and enantioselectivity with no observed bis-acylation. A data-science-driven approach to substrate scope evaluation was coupled to high throughput experimentation (HTE) to facilitate statistical modeling in order to inform mechanistic studies. Reaction kinetics, catalyst structural studies, and density functional theory (DFT) transition state analysis elucidated the turnover-limiting step to be the collapse of the tetrahedral intermediate and provided key insights into the catalyst-substrate structure-activity relationships responsible for the origin of the enantioselectivity. This study offers a reliable method for accessing enantioenriched sulfonimidamides to propel their application as pharmacophores and serves as an example of the mechanistic insight that can be gleaned from integrating data science and traditional physical organic techniques.

摘要

在医学和合成化学领域,获取手性硫(VI)药效团的方法引起了人们的兴趣。我们报告了通过使用金鸡纳-膦酸酯催化剂进行不对称酰化来对未保护的磺酰亚胺进行去对称化。所需产物以优异的产率和对映选择性形成,没有观察到双酰化。通过数据科学驱动的方法对底物范围进行评估,并与高通量实验(HTE)相结合,以进行统计建模,从而为机械研究提供信息。反应动力学、催化剂结构研究和密度泛函理论(DFT)过渡态分析阐明了限制步骤是四面体中间体的崩溃,并为负责对映选择性起源的催化剂-底物结构-活性关系提供了关键见解。这项研究提供了一种可靠的方法来获得手性富集的磺酰亚胺,以推动它们作为药效团的应用,并为从数据科学和传统物理有机技术集成中获得的机械洞察力提供了一个示例。

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