Laboratory of Organic Chemistry, ETH Zürich, 8093 Zürich, Switzerland.
Annu Rev Biochem. 2013;82:447-70. doi: 10.1146/annurev-biochem-072611-101825.
Diverse engineering strategies have been developed to create enzymes with novel catalytic activities. Among these, computational approaches hold particular promise. Enzymes have been computationally designed to promote several nonbiological reactions, including a Diels-Alder cycloaddition, proton transfer, multistep retroaldol transformations, and metal-dependent hydrolysis of phosphotriesters. Although their efficiencies (kcat/KM = 0.1-100 M(-1) s(-1)) are typically low compared with those of the best natural enzymes (10(6)-10(8) M(-1) s(-1)), these catalysts are excellent starting points for laboratory evolution. This review surveys recent progress in combining computational and evolutionary approaches to enzyme design, together with insights into enzyme function gained from studies of the engineered catalysts.
多种工程策略已被开发用于创造具有新颖催化活性的酶。在这些策略中,计算方法具有特殊的前景。已经通过计算设计来促进几种非生物反应,包括 Diels-Alder 环加成、质子转移、多步反醛醇转化和金属依赖性膦三酯水解。尽管它们的效率(kcat/KM = 0.1-100 M(-1) s(-1))通常比最好的天然酶(10(6)-10(8) M(-1) s(-1))低,但这些催化剂是实验室进化的绝佳起点。这篇综述调查了将计算和进化方法相结合进行酶设计的最新进展,以及从工程化催化剂研究中获得的对酶功能的深入了解。