突变体
基质(水族馆)
分子动力学
还原酶
化学
催化作用
立体化学
生物催化
氧化还原酶
组合化学
生物化学
酶
生物
计算化学
反应机理
基因
生态学
作者
Shenyuan Xu,Yufeng Chen,Lei Cui,Zhi‐Yong Wu,Ren‐Chao Zheng,Yu‐Guo Zheng
摘要
ABSTRACT Aldo‐keto reductase (AKR) is an important biocatalyst for the synthesis of chiral alcohols; however, its inability to catalyze bulky substrates severely limits its industrial applications. Previously, the T23V/Q213A mutant of AKR from Kluyveromyces marxianus ( Km AKR) exhibited an extended substrate scope, but it still showed poor catalytic activity toward some valuable aliphatic and aromatic ketones. Here, we developed a computer‐assisted strategy to virtually screen a mutation library constructed from residues 23 and 213. Guided by the binding free energy calculated from high‐throughput molecular dynamics simulations, the top ten mutants with the lowest binding energies in each group were selected for testing against the corresponding substrates. It was found that most selected mutants exhibited enhanced catalytic activity, yielding the corresponding pharmaceutically important alcohols with high enantioselectivities. Structural and dynamic analyses indicated that residues 23 and 213 functioned as molecular switches to control the dynamics of the loop regions that constitute the substrate‐binding pocket, thereby influencing the substrate specificity of Km AKR.
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