Suppr超能文献

绘制酶-底物相互作用图:研究酶机制的潜力。

Mapping enzyme-substrate interactions: its potential to study the mechanism of enzymes.

机构信息

Barcelona Supercomputing Center (BSC), Barcelona, Spain.

Barcelona Supercomputing Center (BSC), Barcelona, Spain; Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain.

出版信息

Adv Protein Chem Struct Biol. 2020;122:1-31. doi: 10.1016/bs.apcsb.2020.06.001. Epub 2020 Jun 27.

Abstract

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.

摘要

随着社会对工业领域采用更可持续工艺需求的增加,对酶进行建模对于充分理解其作用机制并利用这些知识来增强和设计其特性变得至关重要。目前存在许多计算研究酶的方法,它们可分为基于序列的、基于结构的,以及更新的基于人工智能的方法。尽管有很多方法可以帮助预测酶的功能,但当试图理解酶的机制时,分子建模是至关重要的,因为它们旨在将原子信息与实验数据相关联。其中,模拟系统动力学的方法在分子力学理论(经典力场)水平上进行展示,可以提供全面的研究。在本章中,我们将分析这些技术,强调精确建模酶-底物相互作用的重要性。最后,简要解释了将信息从研究转移到工业的过程,并辅以两个家族酶的例子,其建模有助于它们的开发利用。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验