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蛋白质无序性预测

Prediction of protein disorder.

作者信息

Dosztányi Zsuzsanna, Tompa Peter

机构信息

Institute of Enzymology, Biological Research Center, Hungarian Academy of Sciences, Budapest, Hungary.

出版信息

Methods Mol Biol. 2008;426:103-15. doi: 10.1007/978-1-60327-058-8_6.

Abstract

The recent advance in our understanding of the relation of protein structure and function cautions that many proteins, or regions of proteins, exist and function without a well-defined three-dimensional structure. These intrinsically disordered/unstructured proteins (IDP/IUP) are frequent in proteomes and carry out essential functions, but their lack of stable structures hampers efforts of solving structures at high resolution by x-ray crystallography and/or NMR. Thus, filtering such proteins/regions out of high-throughput structural genomics pipelines would be of significant benefit in terms of cost and success rate. This chapter outlines the theoretical background of structural disorder, and provides practical advice on the application of advanced bioinformatic predictors to this end, that is to recognize fully/mostly disordered proteins or regions, which are incompatible with structure determination. An emphasis is also given to a somewhat different approach, in which ordered/disordered regions are explicitly delineated to the end of making constructs amenable for structure determination even when disordered regions are present.

摘要

我们对蛋白质结构与功能关系的最新认识进展提醒我们,许多蛋白质或蛋白质区域在没有明确三维结构的情况下存在并发挥功能。这些内在无序/无结构的蛋白质(IDP/IUP)在蛋白质组中很常见并执行重要功能,但其缺乏稳定结构阻碍了通过X射线晶体学和/或核磁共振在高分辨率下解析结构的努力。因此,从高通量结构基因组学流程中筛选出此类蛋白质/区域在成本和成功率方面将具有显著益处。本章概述了结构无序的理论背景,并为此提供了关于应用先进生物信息学预测工具的实用建议,即识别与结构测定不兼容的完全/大部分无序的蛋白质或区域。还强调了一种略有不同的方法,即明确划定有序/无序区域,以便即使存在无序区域时也能构建适合结构测定的构建体。

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