Chen Huimin, Liu Jiaxin, Tang Gege, Hao Gefei, Yang Guangfu
State Key Laboratory of Green Pesticide, International Joint Research Center for Intelligent Biosensor Technology and Health, Central China Normal University, Wuhan 430079, China.
State Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for Research and Development of Fine Chemicals, Guizhou University, Guiyang 550025, China.
Genomics Proteomics Bioinformatics. 2024 Dec 3;22(5). doi: 10.1093/gpbjnl/qzae075.
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 resources used in human-virus PPI research, and discuss and compare their functions, performance, and limitations. This review aims to provide researchers with a bioinformatic toolbox that will hopefully better facilitate the exploration of human-virus PPIs based on binding modes.
从历史上看，曾有许多病毒性疾病的爆发持续夺去数百万人的生命。对人类-病毒蛋白质-蛋白质相互作用（PPI）的研究对于理解人类-病毒关系的原理至关重要，为制定对抗疾病的病毒控制策略提供了重要基础。关于人类-病毒PPI的快速积累的数据为围绕人类-病毒PPI的生物信息学研究提供了前所未有的机会。然而，缺乏有助于系统且高效地利用这些资源的详细分析和总结。在此，我们全面回顾了人类-病毒PPI研究中使用的生物信息学资源，并讨论和比较了它们的功能、性能及局限性。本综述旨在为研究人员提供一个生物信息学工具箱，有望更好地促进基于结合模式对人类-病毒PPI的探索。
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