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Prediction of the Receptorome for the Human-Infecting Virome

Virologica Sinica 2021年第1期36卷 133-140页

作者： Zheng Zhang Sifan Ye Aiping Wu Taijiao Jiang Yousong Peng Bioinformatics Center of College of Biology Hunan Provincial Key Laboratory of Medical VirologyHunan UniversityChangsha 410082China Center for Systems Medicine Institute of Basic Medical SciencesChinese Academy of Medical Sciences&Peking Union Medical CollegeBeijing 100005China Suzhou Institute of Systems Medicine Suzhou 215123China Guangzhou Regenerative Medicine and Health Guangdong Laboratory Guangzhou 510005China

The virus receptors are key for the viral infection of host *** of the virus receptors is still challenging at *** previous study has shown that human virus receptor proteins have some unique features including high N-glycosylation level,high number of interaction partners and high expression ***,a random-forest model was built to identify human virus receptorome from human cell membrane proteins with an accepted accuracy based on the combination of the unique features of human virus receptors and protein sequences.A total of 1424 human cell membrane proteins were predicted to constitute the receptorome of the human-infecting *** addition,the combination of the random-forest model with protein–protein interactions between human and viruses predicted in previous studies enabled further prediction of the receptors for 693 human-infecting viruses,such as the enterovirus,norovirus and West Nile ***,the candidate alternative receptors of the SARS-Co V-2 were also predicted in this *** far as we know,this study is the first attempt to predict the receptorome for the human-infecting virome and would greatly facilitate the identification of the receptors for viruses.

关键词： Receptor Human-infecting virus Virome Bioinformatics emerging virus

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