Machine Learning Models Identify Inhibitors of SARS-CoV-2.
Journal
Journal of chemical information and modeling
ISSN: 1549-960X
Titre abrégé: J Chem Inf Model
Pays: United States
ID NLM: 101230060
Informations de publication
Date de publication:
27 09 2021
27 09 2021
Historique:
pubmed:
14
8
2021
medline:
30
9
2021
entrez:
13
8
2021
Statut:
ppublish
Résumé
With the rapidly evolving SARS-CoV-2 variants of concern, there is an urgent need for the discovery of further treatments for the coronavirus disease (COVID-19). Drug repurposing is one of the most rapid strategies for addressing this need, and numerous compounds have already been selected for
Identifiants
pubmed: 34387990
doi: 10.1021/acs.jcim.1c00683
pmc: PMC8574161
mid: NIHMS1750561
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
4224-4235Subventions
Organisme : NIGMS NIH HHS
ID : R44 GM122196
Pays : United States
Organisme : NCCIH NIH HHS
ID : R43 AT010585
Pays : United States
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