Automated Quantum Mechanical Predictions of Enantioselectivity in a Rhodium-Catalyzed Asymmetric Hydrogenation

被引:41
|
作者
Guan, Yanfei [1 ]
Wheeler, Steven E. [1 ,2 ]
机构
[1] Texas A&M Univ, Dept Chem, College Stn, TX 77842 USA
[2] Univ Georgia, Dept Chem, Ctr Computat Quantum Chem, Athens, GA 30602 USA
基金
美国国家科学基金会;
关键词
asymmetric catalysis; computational chemistry; density functional calculations; enantioselectivity; ligand design; AB-INITIO PSEUDOPOTENTIALS; TRANSITION-ELEMENTS; COMPUTATIONAL EVIDENCE; EFFICIENT SYNTHESIS; PROCHIRAL ENAMIDES; PHOSPHORUS LIGANDS; REACTION PATHWAYS; NATURAL-PRODUCTS; FORCE-FIELDS; DESIGN;
D O I
10.1002/anie.201704663
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
A computational toolkit (AARON: An automated reaction optimizer for new catalysts) is described that automates the density functional theory (DFT) based screening of chiral ligands for transition-metal-catalyzed reactions with well-defined reaction mechanisms but multiple stereocontrolling transition states. This is demonstrated for the Rh-catalyzed asymmetric hydrogenation of (E)-beta-aryl-N-acetyl enamides, for which a new C-2-symmetric phosphorus ligand is designed.
引用
收藏
页码:9101 / 9105
页数:5
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