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利用立体效应多维模型预测脂肪酮对映选择性丙炔化反应中催化剂和底物的性能。

Prediction of catalyst and substrate performance in the enantioselective propargylation of aliphatic ketones by a multidimensional model of steric effects.

机构信息

Department of Chemistry, University of Utah, 315 South 1400 East, Salt Lake City, Utah 84112, USA.

出版信息

J Am Chem Soc. 2013 Feb 20;135(7):2482-5. doi: 10.1021/ja4001807. Epub 2013 Feb 11.

DOI:10.1021/ja4001807
PMID:23387331
Abstract

The effectiveness of a new asymmetric catalytic methodology is often weighed by the number of diverse substrates that undergo reaction with high enantioselectivity. Here we report a study that correlates substrate and ligand steric effects to enantioselectivity for the propargylation of aliphatic ketones. The mathematical model is shown to be highly predictive when applied to substrate/catalyst combinations outside the training set.

摘要

新的不对称催化方法的有效性通常通过能以高对映选择性进行反应的多种不同底物的数量来衡量。在这里,我们报告了一项关于脂肪酮炔丙基化反应中底物和配体空间效应与对映选择性关系的研究。该数学模型在应用于训练集之外的底物/催化剂组合时表现出很高的预测性。

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