代谢工程
生物传感器
蛋白质工程
酶
生化工程
合成生物学
瓶颈
计算生物学
高通量筛选
催化效率
定向进化
计算机科学
生物技术
生物
生物化学
工程类
基因
嵌入式系统
突变体
作者
Hyun Gyu Hwang,Dae-yeol Ye,Gyoo Yeol Jung
标识
DOI:10.1016/j.biotechadv.2023.108251
摘要
A variety of chemicals have been produced through metabolic engineering approaches, and enhancing biosynthesis performance can be achieved by using enzymes with high catalytic efficiency. Accordingly, a number of efforts have been made to discover enzymes in nature for various applications. In addition, enzyme engineering approaches have been attempted to suit specific industrial purposes. However, a significant challenge in enzyme discovery and engineering is the efficient screening of enzymes with the desired phenotype from extensive enzyme libraries. To overcome this bottleneck, genetically encoded biosensors have been developed to specifically detect target molecules produced by enzyme activity at the intracellular level. Especially, the biosensors facilitate high-throughput screening (HTS) of targeted enzymes, expanding enzyme discovery and engineering strategies with advances in systems and synthetic biology. This review examines biosensor-guided HTS systems and highlights studies that have utilized these tools to discover enzymes in diverse areas and engineer enzymes to enhance their properties, such as catalytic efficiency, specificity, and stability.
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