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一种用于识别蛋白质中富含Q/N的朊病毒样结构域的生物信息学方法。

A bioinformatics method for identifying Q/N-rich prion-like domains in proteins.

作者信息

Ross Eric D, Maclea Kyle S, Anderson Charles, Ben-Hur Asa

机构信息

Department of Biochemistry, Colorado State University, Fort Collins, CO, USA.

出版信息

Methods Mol Biol. 2013;1017:219-28. doi: 10.1007/978-1-62703-438-8_16.

Abstract

Numerous proteins contain domains that are enriched in glutamine and asparagine residues, and aggregation of some of these proteins has been linked to both prion formation in yeast and a number of human diseases. Unfortunately, predicting whether a given glutamine/asparagine-rich protein will aggregate has proven difficult. Here we describe a recently developed algorithm designed to predict the aggregation propensity of glutamine/asparagine-rich proteins. We discuss the basis for the algorithm, its limitations, and usage of recently developed online and downloadable versions of the algorithm.

摘要

许多蛋白质含有富含谷氨酰胺和天冬酰胺残基的结构域,其中一些蛋白质的聚集与酵母中的朊病毒形成以及多种人类疾病都有关联。遗憾的是,事实证明预测某一特定的富含谷氨酰胺/天冬酰胺的蛋白质是否会发生聚集很困难。在此,我们描述一种最近开发的算法,其旨在预测富含谷氨酰胺/天冬酰胺的蛋白质的聚集倾向。我们讨论了该算法的依据、其局限性以及该算法最近开发的在线版和可下载版的使用方法。

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