Jiang Yanlong, Renata Hans
Department of Chemistry, BioScience Research Collaborative, Rice University, Houston, TX,77005, USA.
Lead Contact.
Chem Catal. 2022 Oct 20;2(10):2471-2480. doi: 10.1016/j.checat.2022.09.038. Epub 2022 Oct 14.
Many enzymes possess high catalytic efficiency and selectivity that far surpass classical organic or organometallic catalysts. However, the initial starting enzyme for a given transformation does not always possess the right properties needed for broad utilization. Searching in genome/protein sequence libraries for homologs, aided with powerful bioinformatic tools developed in recent years, provides an avenue to identify superior biocatalysts. Herein, we highlight several case studies to illustrate the power of this concept. A brief discussion on its complementarity with contemporary approaches in protein engineering (such as directed evolution) and possible future developments is also provided.
许多酶具有远超传统有机或有机金属催化剂的高催化效率和选择性。然而，给定转化反应的起始酶并不总是具备广泛应用所需的合适特性。借助近年来开发的强大生物信息学工具，在基因组/蛋白质序列文库中搜索同源物，为鉴定优良生物催化剂提供了一条途径。在此，我们重点介绍几个案例研究以阐明这一概念的强大之处。还简要讨论了其与蛋白质工程当代方法（如定向进化）的互补性以及可能的未来发展。
