Hui-Min Chen, Jia-Xin Liu, Di Liu, Ge-Fei Hao, Guang-Fu Yang
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引用次数: 0
Abstract
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.
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.