Prediction of the Receptorome for the Human-Infecting Virome.
Virol Sin
; 36(1): 133-140, 2021 Feb.
Article
in English
| MEDLINE | ID: covidwho-680840
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See preprint
ABSTRACT
The virus receptors are key for the viral infection of host cells. Identification of the virus receptors is still challenging at present. Our 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 level. Here, 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 virome. In 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 virus. Finally, the candidate alternative receptors of the SARS-CoV-2 were also predicted in this study. As 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.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Receptors, Virus
/
Virome
Type of study:
Prognostic study
/
Randomized controlled trials
Limits:
Humans
Language:
English
Journal:
Virol Sin
Journal subject:
Virology
Year:
2021
Document Type:
Article
Affiliation country:
S12250-020-00259-6
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