Design of a Genetic Algorithm for the Simulated Evolution of a Library of Asymmetric Transfer Hydrogenation Catalysts
作者:Nicolas Vriamont、Bernadette Govaerts、Pierre Grenouillet、Claude de Bellefon、Olivier Riant
DOI:10.1002/chem.200802192
日期:2009.6.15
Breeding new catalysts: A library of 1980 catalysts was designed for asymmetric hydrogen transfer to acetophenone. The library was submitted to evaluation and further simulated evolution experiments, based on a genetic algorithm (see scheme). We demonstrated that it was easily possible to get 5–6 of the ten best catalysts, while investigating only 10% of the library.
培育新的催化剂:设计了1980个催化剂库,用于将氢不对称地转移到苯乙酮中。基于遗传算法(请参阅方案),该库已提交评估和进一步的模拟进化实验。我们证明,很容易就能获得十种最佳催化剂中的5–6种,而仅需研究10%的催化剂。