The Warren and Katharine Schlinger Laboratory for Chemistry and Chemical Engineering, Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States.
Materials and Process Simulation Center, Beckman Institute, California Institute of Technology, Pasadena, California 91125, United States.
J Am Chem Soc. 2020 Aug 12;142(32):13917-13933. doi: 10.1021/jacs.0c06243. Epub 2020 Jul 30.
We utilize quantum mechanics to evaluate a variety of plausible mechanistic pathways for the entirety of the catalytic cycle for asymmetric decarboxylative allylic alkylation of allyl β-ketoesters. We present a mechanistic picture that unites all current experimental observations, including enantioinduction, reaction rate, catalyst resting state, enolate crossover experiments, water tolerance, and the effects of solvation on inner- and outer-sphere mechanisms. Experiments designed to evaluate the fidelity and predictive power of the computational models reveal the methods employed herein to be highly effective in elucidating the reactivity of the catalytic system. On the basis of these findings, we highlight a computational framework from which chemically accurate results are obtained and address the current limitations of the decarboxylative asymmetric allylic alkylation reaction.
我们利用量子力学来评估不对称脱羧烯丙基烷基化反应中整个催化循环的各种可能的机械途径。我们提出了一个机械图景,将所有当前的实验观察结果,包括对映诱导、反应速率、催化剂静止状态、烯醇化物交叉实验、水耐受性以及溶剂化对内、外球机制的影响结合在一起。设计这些实验是为了评估计算模型的准确性和预测能力,实验结果表明,本文所采用的方法在阐明催化体系的反应性方面非常有效。基于这些发现,我们强调了一个计算框架,从中可以获得化学上准确的结果,并解决当前脱羧不对称烯丙基烷基化反应的局限性。