Iterative conformational dynamics-guided protein engineering reshapes biocatalyst properties for efficient and cost-effective cytidine 5ʹ-monophosphate production

胞苷 核苷 基质(水族馆) 生物催化 蛋白质工程 化学 酶动力学 分子动力学 组合化学 生物系统 计算机科学 催化作用 生物化学 活动站点 计算化学 生物 反应机理 生态学
作者
Zonglin Li,Zonglin Li,Longwei Lou,Chuanqi Sun,Wentian Xu,Zhimin Li,Zhimin Li
出处
期刊:Chemical Engineering Journal [Elsevier BV]
卷期号:425: 131597-131597 被引量:23
标识
DOI:10.1016/j.cej.2021.131597
摘要

Biocatalysis based on enzyme catalysis is becoming increasingly popular. However, few enzymes can directly catalyze the desired reaction, it is necessary to modify the catalyst to meet the practical needs. Virtual screening combining with molecular dynamics simulation and wet experiments is an attractive approach for obtaining target proteins. Here, based on the traditional conformational dynamics analysis method, we proposed an iterative strategy to quickly screen for nucleoside kinase variants with increased activity. Guided by the simulation results, we obtained a total of 21 candidate residues, of which 5 were selected for in-depth analysis, resulting in two key residues (A220 and A248) and several variants. All variants were evaluated experimentally and computationally; A220L showed a 7.3-fold increase in activity compared to the wild-type enzyme, whereas A248S showed a 3.5-fold increase in the kcat/Km ratio. Using an in vitro dual-enzyme coupling assay, a 400 mM cytidine substrate could be almost completely converted to cytidine 5ʹ-monophosphate within 5 h. Finally, we modified another enzyme in the coupling reaction under the guidance of the same strategy to change its substrate preference, thus successfully halving the requirement of one substrate. Our method can simplify the protein engineering process by assisting the efficient and accurate identification of key residues, thereby expanding the scope of biocatalyst applications.
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