机制(生物学)
计算机科学
酶
集合(抽象数据类型)
催化作用
网站
计算生物学
酶催化
组合化学
化学
生化工程
生物
生物化学
万维网
程序设计语言
互联网
工程类
物理
量子力学
作者
António J. M. Ribeiro,Ioannis G. Riziotis,Jonathan D. Tyzack,Neera Borkakoti,Janet M. Thornton
出处
期刊:Nature Methods
[Springer Nature]
日期:2023-09-21
卷期号:20 (10): 1516-1522
被引量:6
标识
DOI:10.1038/s41592-023-02006-7
摘要
Over the years, hundreds of enzyme reaction mechanisms have been studied using experimental and simulation methods. This rich literature on biological catalysis is now ripe for use as the foundation of new knowledge-based approaches to investigate enzyme mechanisms. Here, we present a tool able to automatically infer mechanistic paths for a given three-dimensional active site and enzyme reaction, based on a set of catalytic rules compiled from the Mechanism and Catalytic Site Atlas, a database of enzyme mechanisms. EzMechanism (pronounced as 'Easy' Mechanism) is available to everyone through a web user interface. When studying a mechanism, EzMechanism facilitates and improves the generation of hypotheses, by making sure that relevant information is considered, as derived from the literature on both related and unrelated enzymes. We validated EzMechanism on a set of 62 enzymes and have identified paths for further improvement, including the need for additional and more generic catalytic rules.
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