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通过结合定向进化和计算引导的虚拟筛选提高L-赖氨酸脱羧酶CadA的热稳定性和碱稳定性

Enhanced thermal and alkaline stability of L-lysine decarboxylase CadA by combining directed evolution and computation-guided virtual screening.

作者信息

Xi Yang, Ye Lidan, Yu Hongwei

机构信息

Institute of Bioengineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, 310027, China.

Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 311200, China.

出版信息

Bioresour Bioprocess. 2022 Mar 21;9(1):24. doi: 10.1186/s40643-022-00510-w.

Abstract

As an important monomer for bio-based nylons PA5X, cadaverine is mainly produced by enzymatic decarboxylation of L-lysine. A key issue with this process is the instability of L-lysine decarboxylase (CadA) during the reaction due to the dissociation of CadA subunits with the accumulation of alkaline cadaverine. In this work, we attempted to improve the thermal and alkaline stability of CadA by combining directed evolution and computation-guided virtual screening. Interestingly, site 477 residue located at the protein surface and not the decamer interface was found as a hotspot in directed evolution. By combinatorial mutagenesis of the positive mutations obtained by directed evolution and virtual screening with the previously reported T88S mutation, K477R/E445Q/T88S/F102V was generated as the best mutant, delivering 37% improvement of cadaverine yield at 50 ºC and pH 8.0. Molecular dynamics simulations suggested the improved rigidity of regional structures, increased number of salt bridges, and enhancement of hydrogen bonds at the multimeric interface as possible origins of the improved stability of the mutant. Using this four-point mutant, 160.7 g/L of cadaverine was produced from 2.0 M Lysine hydrochloride at 50 °C without pH regulation, with a conversion of 78.5%, whereas the wild type produced 143.7 g/L cadaverine, corresponding to 70% conversion. This work shows the combination of directed evolution and virtual screening as an efficient protein engineering strategy.

摘要

作为生物基尼龙PA5X的重要单体,尸胺主要通过L-赖氨酸的酶促脱羧反应产生。该过程的一个关键问题是,由于尸胺积累导致CadA亚基解离,L-赖氨酸脱羧酶(CadA)在反应过程中不稳定。在这项工作中,我们试图通过结合定向进化和计算引导的虚拟筛选来提高CadA的热稳定性和碱稳定性。有趣的是,位于蛋白质表面而非十聚体界面的477位点残基在定向进化中被发现是一个热点。通过将定向进化和虚拟筛选获得的正向突变与先前报道的T88S突变进行组合诱变,产生了K477R/E445Q/T88S/F102V作为最佳突变体,在50℃和pH 8.0条件下尸胺产量提高了37%。分子动力学模拟表明,区域结构刚性增强、盐桥数量增加以及多聚体界面处氢键增强可能是突变体稳定性提高的原因。使用这种四点突变体,在50℃下由2.0 M盐酸赖氨酸生产尸胺时无需调节pH值,产量为160.7 g/L,转化率为78.5%,而野生型产生143.7 g/L尸胺,转化率为70%。这项工作表明,定向进化和虚拟筛选相结合是一种有效的蛋白质工程策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c23e/10992825/d14520b6893d/40643_2022_510_Fig1_HTML.jpg

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