生物催化
分子动力学
生化工程
蛋白质工程
合理设计
化学
定向进化
溶剂化
力场(虚构)
理论(学习稳定性)
计算机科学
纳米技术
酶
计算化学
材料科学
工程类
溶剂
有机化学
催化作用
生物化学
离子液体
人工智能
基因
突变体
机器学习
作者
Haiyang Cui,Markus Vedder,Ulrich Schwaneberg,Mehdi D. Davari
出处
期刊:Methods in molecular biology
日期:2021-11-23
卷期号:: 179-202
被引量:9
标识
DOI:10.1007/978-1-0716-1826-4_10
摘要
Biocatalysis in organic solvents (OSs) is very appealing for the industry in producing bulk and/or fine chemicals, such as pharmaceuticals, biodiesel, and fragrances. The poor performance of enzymes in OSs (e.g., reduced activity, insufficient stability, and deactivation) negates OSs' excellent solvent properties. Molecular dynamics (MD) simulations provide a complementary method to study the relationship between enzymes dynamics and the stability in OSs. Here we describe computational procedure for MD simulation of enzymes in OSs with an example of Bacillus subtilis lipase A (BSLA) in dimethyl sulfoxide (DMSO) cosolvent with software GROMACS. We discuss main essential practical issues considered (such as choice of force field, parameterization, simulation setup, and trajectory analysis). The core part of this protocol (enzyme-OS system setup, analysis of structural-based and solvation-based observables) is transferable to other enzymes and any OS systems. Combining with experimental studies, the obtained molecular knowledge is most likely to guide researchers to access rational protein engineering approaches to tailor OS resistant enzymes and expand the scope of biocatalysis in OS media. Finally, we discuss potential solutions to overcome the remaining challenges of computational biocatalysis in OSs and briefly draw future directions for further improvement in this field.
科研通智能强力驱动
Strongly Powered by AbleSci AI