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分析蛋白质功能的新技术:内在无序视角

New technologies to analyse protein function: an intrinsic disorder perspective.

作者信息

Uversky Vladimir N

机构信息

Department of Molecular Medicine and USF Health Byrd Alzheimer's Research Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, 33620, USA.

Laboratory of New Methods in Biology, Institute for Biological Instrumentation, Russian Academy of Sciences, Pushchino, Russian Federation.

出版信息

F1000Res. 2020 Feb 10;9. doi: 10.12688/f1000research.20867.1. eCollection 2020.

DOI:10.12688/f1000research.20867.1
PMID:32089835
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7014577/
Abstract

Functions of intrinsically disordered proteins do not require structure. Such structure-independent functionality has melted away the classic rigid "lock and key" representation of structure-function relationships in proteins, opening a new page in protein science, where molten keys operate on melted locks and where conformational flexibility and intrinsic disorder, structural plasticity and extreme malleability, multifunctionality and binding promiscuity represent a new-fangled reality. Analysis and understanding of this new reality require novel tools, and some of the techniques elaborated for the examination of intrinsically disordered protein functions are outlined in this review.

摘要

内在无序蛋白质的功能并不需要结构。这种与结构无关的功能特性打破了蛋白质结构与功能关系中经典的刚性“锁钥”模式,为蛋白质科学翻开了新的篇章,在这个篇章里,“熔钥”作用于“熔锁”,构象灵活性与内在无序性、结构可塑性与极端延展性、多功能性与结合多配性代表了一种全新的现实。对这一新现实的分析与理解需要新的工具,本文综述概述了一些为研究内在无序蛋白质功能而精心设计的技术。

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本文引用的文献

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Prediction of liquid-liquid phase separating proteins using machine learning.利用机器学习预测液-液相分离蛋白。
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