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从计算角度理解酶功能进化。

Understanding enzyme function evolution from a computational perspective.

机构信息

EMBL-EBI, Wellcome Genome Campus, CB10 1SD, United Kingdom.

London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, United Kingdom.

出版信息

Curr Opin Struct Biol. 2017 Dec;47:131-139. doi: 10.1016/j.sbi.2017.08.003. Epub 2017 Sep 8.

DOI:10.1016/j.sbi.2017.08.003
PMID:28892668
Abstract

In this review, we will explore recent computational approaches to understand enzyme evolution from the perspective of protein structure, dynamics and promiscuity. We will present quantitative methods to measure the size of evolutionary steps within a structural domain, allowing the correlation between change in substrate and domain structure to be assessed, and giving insights into the evolvability of different domains in terms of the number, types and sizes of evolutionary steps observed. These approaches will help to understand the evolution of new catalytic and non-catalytic functionality in response to environmental demands, showing potential to guide de novoenzyme design and directed evolution experiments.

摘要

在这篇综述中,我们将从蛋白质结构、动力学和多功能性的角度探讨理解酶进化的最新计算方法。我们将介绍定量方法来测量结构域内进化步骤的大小,从而可以评估底物变化与结构域结构之间的相关性,并深入了解不同结构域在观察到的进化步骤的数量、类型和大小方面的可进化性。这些方法将有助于理解新的催化和非催化功能在应对环境需求时的进化,显示出指导从头设计酶和定向进化实验的潜力。

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