Bioinformatics-based Characterization of the Sequence Variability of Zika Virus Polyprotein and Envelope Protein (E).

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2022-10-27 eCollection Date: 2022-01-01 DOI:10.1177/11769343221130730

Carlos Polanco, Vladimir N Uversky, Alberto Huberman, Gilberto Vargas-Alarcón, Jorge Alberto Castañón González, Thomas Buhse, Enrique Hernández Lemus, Martha Rios Castro, Erika Jeannette López Oliva, Sergio Enrique Solís Nájera

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Abstract

Background: Zika virus, which is widely spread and infects humans through the bites of Aedes albopictus and Aedes aegypti female mosquitoes, represents a serious global health issue.

Objective: The objective of the present study is to computationally characterize Zika virus polyproteins (UniProt Name: PRO_0000443018 [residues 1-3423], PRO_0000445659 [residues 1-3423] and PRO_0000435828 [residues 1-3419]) and their envelope proteins using their physico-chemical properties.

Methods: To achieve this, the Polarity Index Method (PIM) profile and the Protein Intrinsic Disorder Predisposition (PIDP) profile of 3 main groups of proteins were evaluated: structural proteins extracted from specific Databases, Zika virus polyproteins, and their envelope proteins (E) extracted from UniProt Database. Once the PIM profile of the Zika virus envelope proteins (E) was obtained and since the Zika virus polyproteins were also identified with this profile, the proteins defined as "reviewed proteins" extracted from the UniProt Database were searched for the similar PIM profile. Finally, the difference between the PIM profiles of the Zika virus polyproteins and their envelope proteins (E) was tested using 2 non-parametric statistical tests.

Results: It was found and tested that the PIM profile is an efficient discriminant that allows obtaining a "computational fingerprint" of each Zika virus polyprotein from its envelope protein (E).

Conclusion: PIM profile represents a computational tool, which can be used to effectively discover Zika virus polyproteins from Databases, from their envelope proteins (E) sequences.

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基于生物信息学的寨卡病毒多蛋白和包膜蛋白(E)序列变异特征

背景:寨卡病毒是一种通过白纹伊蚊和埃及伊蚊雌蚊叮咬而广泛传播并感染人类的病毒，是严重的全球卫生问题。目的:本研究的目的是利用寨卡病毒多蛋白(UniProt名称:PRO_0000443018[残基1-3423]，PRO_0000445659[残基1-3423]和PRO_0000435828[残基1-3419])及其包膜蛋白的物理化学性质对其进行计算表征。方法:利用特异性数据库中提取的结构蛋白、UniProt数据库中提取的寨卡病毒多蛋白及其包膜蛋白(E) 3组蛋白的极性指数法(PIM)谱和蛋白质内在失调易感性(PIDP)谱进行评价。一旦获得寨卡病毒包膜蛋白(E)的PIM谱，并且寨卡病毒多蛋白也被鉴定为该谱，从UniProt数据库中提取的定义为“审查蛋白”的蛋白质被搜索类似的PIM谱。最后，采用2个非参数统计检验检验寨卡病毒多蛋白及其包膜蛋白(E)的PIM谱的差异。结果:发现并验证了PIM谱是一种有效的判别方法，可以从每个寨卡病毒的包膜蛋白(E)序列中获得寨卡病毒多蛋白的“计算指纹”。结论:PIM谱是一种计算工具，可用于从数据库中有效地从其包膜蛋白(E)序列中发现寨卡病毒多蛋白。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.

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