人类-病毒蛋白质-蛋白质相互作用图有助于揭示病毒感染的发病机制

IF 9 2区 医学 Q1 VIROLOGY Reviews in Medical Virology Pub Date : 2024-01-25 DOI:10.1002/rmv.2517
Hui-Min Chen, Jia-Xin Liu, Di Liu, Ge-Fei Hao, Guang-Fu Yang
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引用次数: 0

摘要

人类历史上曾发生过许多重大病毒感染事件,给全世界造成了巨大的负面影响。人类-病毒蛋白质-蛋白质相互作用(PPIs)介导了病毒感染和宿主的免疫过程。鉴定、量化、定位和构建人类-病毒 PPIs 图谱是了解病毒入侵过程的生物物理基础和描述所有蛋白质功能框架的关键前提。随着技术革命和人工智能的引入,人类-病毒 PPIs 图谱在过去十年中迅速扩展,为解决复杂的生物医学问题带来了曙光。然而,该领域仍然缺乏前瞻性的见解。在这项工作中,我们全面回顾和比较了构建大规模人类病毒 PPIs 图谱的各种方法的有效性、潜力和局限性,包括基于生物物理和生物化学的实验方法、人类病毒 PPIs 数据库、基于人工智能的计算方法以及 PPIs 图谱可视化工具。这项工作旨在为研究人员提供一个工具箱,希望能更好地帮助破译人类与病毒之间的关系。
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Human-virus protein-protein interactions maps assist in revealing the pathogenesis of viral infection
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.
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来源期刊
Reviews in Medical Virology
Reviews in Medical Virology 医学-病毒学
CiteScore
21.40
自引率
0.90%
发文量
88
期刊介绍: Reviews in Medical Virology aims to provide articles reviewing conceptual or technological advances in diverse areas of virology. The journal covers topics such as molecular biology, cell biology, replication, pathogenesis, immunology, immunization, epidemiology, diagnosis, treatment of viruses of medical importance, and COVID-19 research. The journal has an Impact Factor of 6.989 for the year 2020. The readership of the journal includes clinicians, virologists, medical microbiologists, molecular biologists, infectious disease specialists, and immunologists. Reviews in Medical Virology is indexed and abstracted in databases such as CABI, Abstracts in Anthropology, ProQuest, Embase, MEDLINE/PubMed, ProQuest Central K-494, SCOPUS, and Web of Science et,al.
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