Suppr超能文献

用于病毒蛋白比较分析的蛋白质内在无序工具箱

Protein intrinsic disorder toolbox for comparative analysis of viral proteins.

作者信息

Goh Gerard Kian-Meng, Dunker A Keith, Uversky Vladimir N

机构信息

Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.

出版信息

BMC Genomics. 2008 Sep 16;9 Suppl 2(Suppl 2):S4. doi: 10.1186/1471-2164-9-S2-S4.

Abstract

To examine the usefulness of protein disorder predictions as a tool for the comparative analysis of viral proteins, a relational database has been constructed. The database includes proteins from influenza A and HIV-related viruses. Annotations include viral protein sequence, disorder prediction, structure, and function. Location of each protein within a virion, if known, is also denoted. Our analysis reveals a clear relationship between proximity to the RNA core and the percentage of predicted disordered residues for a set of influenza A virus proteins. Neuraminidases (NA) and hemagglutinin (HA) of major influenza A pandemics tend to pair in such a way that both proteins tend to be either ordered-ordered or disordered-disordered by prediction. This may be the result of these proteins evolving from being lipid-associated. High abundance of intrinsic disorder in envelope and matrix proteins from HIV-related viruses likely represents a mechanism where HIV virions can escape immune response despite the availability of antibodies for the HIV-related proteins. This exercise provides an example showing how the combined use of intrinsic disorder predictions and relational databases provides an improved understanding of the functional and structural behaviour of viral proteins.

摘要

为了检验蛋白质无序预测作为病毒蛋白质比较分析工具的实用性,构建了一个关系数据库。该数据库包含甲型流感病毒和与HIV相关病毒的蛋白质。注释包括病毒蛋白质序列、无序预测、结构和功能。如果已知,还会标明每种蛋白质在病毒粒子中的位置。我们的分析揭示了一组甲型流感病毒蛋白质中靠近RNA核心的程度与预测的无序残基百分比之间的明确关系。主要甲型流感大流行病毒的神经氨酸酶(NA)和血凝素(HA)倾向于以这样一种方式配对,即通过预测这两种蛋白质往往要么都是有序的,要么都是无序的。这可能是这些蛋白质从与脂质相关的状态进化而来的结果。与HIV相关病毒的包膜和基质蛋白中高度丰富的内在无序可能代表了一种机制,即尽管存在针对与HIV相关蛋白质的抗体,HIV病毒粒子仍能逃避免疫反应。这项工作提供了一个例子,展示了内在无序预测和关系数据库的联合使用如何能更好地理解病毒蛋白质的功能和结构行为。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3a1/2559894/e9ea3f539e44/1471-2164-9-S2-S4-1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验