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从蛋白质的局部到全局变化:网络视角。

From local to global changes in proteins: a network view.

机构信息

Laboratoire de Mathématiques (LAMA UMR 5127), Université Savoie Mont Blanc, CNRS, Le Bourget du Lac, France.

UGA-CNRS AGIM FRE3405, IXXI, Ecole Normale Supérieure de Lyon, France.

出版信息

Curr Opin Struct Biol. 2015 Apr;31:1-8. doi: 10.1016/j.sbi.2015.02.015. Epub 2015 Mar 16.

Abstract

To fulfill the biological activities in living organisms, proteins are endowed with dynamics, robustness and adaptability. The three properties co-exist because they allow global changes in structure to arise from local perturbations (dynamics). Robustness refers to the ability of the protein to incur such changes without suffering loss of function; adaptability is the emergence of a new biological activity. Since loss of function may jeopardize the survival of the organism and lead to disease, adaptability may occur through the combination of two local perturbations that together rescue the initial function. The review highlights the relevancy of computational network analysis to understand how a local change produces global changes.

摘要

为了在生物体中实现生物活性,蛋白质被赋予了动态性、稳健性和适应性。这三个特性共存是因为它们允许结构的全局变化由局部扰动(动态性)引起。稳健性是指蛋白质在不丧失功能的情况下承受这种变化的能力;适应性是新的生物活性的出现。由于功能丧失可能危及生物体的生存并导致疾病,适应性可能通过两种局部扰动的组合来发生,这种组合共同挽救了初始功能。该综述强调了计算网络分析对于理解局部变化如何产生全局变化的相关性。

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