生物催化
酶
化学
定向进化
脂肪酶
QM/毫米
蛋白质工程
从头算
催化作用
合理设计
计算化学
分子动力学
组合化学
立体化学
生物化学
有机化学
纳米技术
材料科学
反应机理
突变体
基因
作者
Zexin Zhao,Dongming Lan,Xiyu Tan,Frank Hollmann,Uwe T. Bornscheuer,Bo Yang,Yonghua Wang
出处
期刊:ACS Catalysis
[American Chemical Society]
日期:2019-02-28
卷期号:9 (4): 2916-2921
被引量:32
标识
DOI:10.1021/acscatal.8b04948
摘要
<p> H <sub>2</sub> O <sub>2</sub> , is an attractive oxidant for synthetic chemistry, especially if activated as percarboxylic acid. H <sub>2</sub> O <sub>2</sub> , however, is also a potent inactivator of enzymes. Protein engineering efforts to improve enzyme resistance against H <sub>2</sub> O <sub>2</sub> in the past have mostly focused on tedious probabilistic directed evolution approaches. Here we demonstrate that a rational approach combining multiscale MD simulations and Born-Oppenheimer ab initio QM/MM MD simulations is an efficient approach to rapidly identify improved enzyme variants. Thus, the lipase from Penicillium camembertii was redesigned with a single mutation (I260R), leading to drastic improvements in H <sub>2</sub> O <sub>2</sub> resistance while maintaining the catalytic activity. Also the extension of this methodology to other enzymes is demonstrated. </p>
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