Development of a novel mathematical model that explains SARS-CoV-2 infection dynamics in Caco-2 cells.
COVID-19
Caco-2
Mathematical model
SARS-CoV-2
Journal
PeerJ
ISSN: 2167-8359
Titre abrégé: PeerJ
Pays: United States
ID NLM: 101603425
Informations de publication
Date de publication:
2023
2023
Historique:
received:
18
10
2022
accepted:
09
01
2023
entrez:
7
2
2023
pubmed:
8
2
2023
medline:
9
2
2023
Statut:
epublish
Résumé
Mathematical modeling is widely used to study within-host viral dynamics. However, to the best of our knowledge, for the case of SARS-CoV-2 such analyses were mainly conducted with the use of viral load data and for the wild type (WT) variant of the virus. In addition, only few studies analyzed models for
Identifiants
pubmed: 36748087
doi: 10.7717/peerj.14828
pii: 14828
pmc: PMC9899056
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e14828Informations de copyright
© 2023 Staroverov et al.
Déclaration de conflit d'intérêts
Stepan Nersisyan is an employee of Armenian Bioinformatics Institute (ABI).
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