机制(生物学)
功能(生物学)
计算机科学
生化工程
酶
分子动力学
基质(水族馆)
动作(物理)
人工智能
管理科学
化学
工程类
计算化学
生物
生物化学
物理
生态学
量子力学
进化生物学
作者
Sergi Rodà,Gerard Santiago,Vı́ctor Guallar
标识
DOI:10.1016/bs.apcsb.2020.06.001
摘要
With the increase of the need to use more sustainable processes for the industry in our society, the modeling of enzymes has become crucial to fully comprehend their mechanism of action and use this knowledge to enhance and design their properties. A lot of methods to study enzymes computationally exist and they have been classified on sequence-based, structure-based, and the more new artificial intelligence-based ones. Albeit the abundance of methods to help predict the function of an enzyme, molecular modeling is crucial when trying to understand the enzyme mechanism, as they aim to correlate atomistic information with experimental data. Among them, methods that simulate the system dynamics at a molecular mechanics level of theory (classical force fields) have shown to offer a comprehensive study. In this book chapter, we will analyze these techniques, emphasizing the importance of precise modeling of enzyme-substrate interactions. In the end, a brief explanation of the transference of the information from research studies to the industry is given accompanied with two examples of family enzymes where their modeling has helped their exploitation.
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