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设计更好的酶:定向进化的启示。

Designing better enzymes: Insights from directed evolution.

机构信息

School of Biochemistry, University of Bristol, Bristol BS8 1TD, UK; Centre for Computational Chemistry, School of Chemistry, University of Bristol, Bristol BS8 1TS, UK.

School of Biochemistry, University of Bristol, Bristol BS8 1TD, UK.

出版信息

Curr Opin Struct Biol. 2021 Apr;67:212-218. doi: 10.1016/j.sbi.2020.12.015. Epub 2021 Jan 29.

Abstract

De novo enzymes can be created by computational design and directed evolution. Here, we review recent insights into the origins of catalytic power in evolved designer enzymes to pinpoint opportunities for next-generation designs: Evolution precisely organizes active sites, introduces catalytic H-bonding networks, invokes electrostatic catalysis, and creates dynamical networks embedding the active site in a reactive protein scaffold. Such insights foster our fundamental knowledge of enzyme catalysis and fuel the future design of tailor-made enzymes.

摘要

从头酶可以通过计算设计和定向进化来创造。在这里,我们回顾了进化设计酶中催化能力起源的最新见解,以确定下一代设计的机会:进化精确地组织活性位点,引入催化氢键网络,引发静电催化,并创建将活性位点嵌入反应性蛋白质支架中的动态网络。这些见解促进了我们对酶催化的基本认识,并为定制酶的未来设计提供了动力。

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