Li Si, Zhou Weiwei, Li Donghao, Pan Tao, Guo Jing, Zou Haozhe, Tian Zhanyu, Li Kongning, Xu Juan, Li Xia, Li Yongsheng
Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou 571199, China.
College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Comput Struct Biotechnol J. 2022 Mar 7;20:1244-1253. doi: 10.1016/j.csbj.2022.03.002. eCollection 2022.
The protein-protein interactions (PPIs) between human and viruses play important roles in viral infection and host immune responses. Rapid accumulation of experimentally validated human-virus PPIs provides an unprecedented opportunity to investigate the regulatory pattern of viral infection. However, we are still lack of knowledge about the regulatory patterns of human-virus interactions. We collected 27,293 experimentally validated human-virus PPIs, covering 8 virus families, 140 viral proteins and 6059 human proteins. Functional enrichment analysis revealed that the viral interacting proteins were likely to be enriched in cell cycle and immune-related pathways. Moreover, we analysed the topological features of the viral interacting proteins and found that they were likely to locate in central regions of human PPI network. Based on network proximity analyses of diseases genes and human-virus interactions in the human interactome, we revealed the associations between complex diseases and viral infections. Network analysis also implicated potential antiviral drugs that were further validated by text mining. Finally, we presented the Human-Virus Protein-Protein Interaction database (HVPPI, http://bio-bigdata.hrbmu.edu.cn/HVPPI), that provides experimentally validated human-virus PPIs as well as seamlessly integrates online functional analysis tools. In summary, comprehensive understanding the regulatory pattern of human-virus interactome will provide novel insights into fundamental infectious mechanism discovery and new antiviral therapy development.
人类与病毒之间的蛋白质-蛋白质相互作用（PPI）在病毒感染和宿主免疫反应中发挥着重要作用。实验验证的人类-病毒PPI的快速积累为研究病毒感染的调控模式提供了前所未有的机会。然而，我们对人类-病毒相互作用的调控模式仍缺乏了解。我们收集了27293个经实验验证的人类-病毒PPI，涵盖8个病毒家族、140种病毒蛋白和6059种人类蛋白。功能富集分析表明，病毒相互作用蛋白可能富集于细胞周期和免疫相关途径。此外，我们分析了病毒相互作用蛋白的拓扑特征，发现它们可能位于人类PPI网络的中心区域。基于人类相互作用组中疾病基因与人类-病毒相互作用的网络邻近性分析，我们揭示了复杂疾病与病毒感染之间的关联。网络分析还暗示了潜在的抗病毒药物，这些药物通过文本挖掘得到了进一步验证。最后，我们展示了人类-病毒蛋白质-蛋白质相互作用数据库（HVPPI，http://bio-bigdata.hrbmu.edu.cn/HVPPI），该数据库提供经实验验证的人类-病毒PPI，并无缝集成了在线功能分析工具。总之，全面了解人类-病毒相互作用组的调控模式将为发现基本感染机制和开发新的抗病毒疗法提供新的见解。
