Human‐virus protein‐protein interactions maps assist in revealing the pathogenesis of viral infection

• Published in: Reviews in medical virology Vol. 34; no. 1; pp. e2517 - n/a
• Main Authors: Chen, Hui‐Min, Liu, Jia‐Xin, Liu, Di, Hao, Ge‐Fei, Yang, Guang‐Fu
• Format: Journal Article
• Language: English
• Published: England Wiley Periodicals Inc 01.01.2024
• Subjects: Artificial intelligence; bioinformatic resources; human‐virus interactions; Localization; Protein interaction; Proteins; protein‐protein interactions; Research methodology; Viral infections; virology; Viruses; bioinformatic resources; human-virus interactions; virology; protein-protein interactions
• ISSN: 1052-9276; 1099-1654
• DOI: 10.1002/rmv.2517

Many significant viral infections have been recorded in human history, which have caused enormous negative impacts worldwide. Human‐virus protein‐protein interactions (PPIs) mediate viral infection and immune processes in the host. The identification, quantification, localization, and construction of human‐virus PPIs maps are critical prerequisites for understanding the biophysical basis of the viral invasion process and characterising the framework for all protein functions. With the technological revolution and the introduction of artificial intelligence, the human‐virus PPIs maps have been expanded rapidly in the past decade and shed light on solving complicated biomedical problems. However, there is still a lack of prospective insight into the field. In this work, we comprehensively review and compare the effectiveness, potential, and limitations of diverse approaches for constructing large‐scale PPIs maps in human‐virus, including experimental methods based on biophysics and biochemistry, databases of human‐virus PPIs, computational methods based on artificial intelligence, and tools for visualising PPIs maps. The work aims to provide a toolbox for researchers, hoping to better assist in deciphering the relationship between humans and viruses.