Bioinformatic Resources for Exploring Human-virus Protein-protein Interactions Based on Binding Modes.

Huimin Chen, Jiaxin Liu, Gege Tang, Gefei Hao, Guangfu Yang
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Abstract

Historically, there have been many outbreaks of viral diseases that have continued to claim millions of lives. Research on human-virus protein-protein interactions (PPIs) is vital to understanding the principles of human-virus relationships, providing an essential foundation for developing virus control strategies to combat diseases. The rapidly accumulating data on human-virus PPIs offer unprecedented opportunities for bioinformatics research around human-virus PPIs. However, available detailed analyses and summaries to help use these resources systematically and efficiently are lacking. Here, we comprehensively review the bioinformatic tools used in human-virus PPIs research, discuss and compare the function, performance, and limitations of these web resources. This study aims to provide researchers with a bioinformatic toolbox that will hopefully better facilitate the exploration of human-virus PPIs based on binding modes.

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基于结合模式探索人类-病毒蛋白质-蛋白质相互作用的生物信息资源。
历史上曾爆发过多次病毒性疾病,持续夺走了数百万人的生命。对人类-病毒蛋白质-蛋白质相互作用(PPIs)的研究对于理解人类-病毒关系的原理至关重要,为制定病毒控制策略以防治疾病提供了重要基础。人类-病毒蛋白质相互作用数据的快速积累为围绕人类-病毒蛋白质相互作用的生物信息学研究提供了前所未有的机遇。然而,目前还缺乏有助于系统、高效地利用这些资源的详细分析和总结。在此,我们全面回顾了用于人类病毒 PPIs 研究的生物信息学工具,讨论并比较了这些网络资源的功能、性能和局限性。本研究旨在为研究人员提供一个生物信息学工具箱,希望能更好地促进基于结合模式的人类-病毒 PPIs 探索。
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