Synthetic lethality-based prediction of anti-SARS-CoV-2 targets.
Drugs
Synthetic biology
Virology
Journal
iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038
Informations de publication
Date de publication:
20 May 2022
20 May 2022
Historique:
received:
16
07
2021
revised:
19
10
2021
accepted:
04
04
2022
pubmed:
4
5
2022
medline:
4
5
2022
entrez:
3
5
2022
Statut:
ppublish
Résumé
Novel strategies are needed to identify drug targets and treatments for the COVID-19 pandemic. The altered gene expression of virus-infected host cells provides an opportunity to specifically inhibit viral propagation via targeting the synthetic lethal and synthetic dosage lethal (SL/SDL) partners of such altered host genes. Pursuing this disparate antiviral strategy, here we comprehensively analyzed multiple
Identifiants
pubmed: 35502318
doi: 10.1016/j.isci.2022.104311
pii: S2589-0042(22)00582-X
pmc: PMC9044693
doi:
Banques de données
figshare
['10.6084/m9.figshare.12436517']
Types de publication
Journal Article
Langues
eng
Pagination
104311Subventions
Organisme : NIAID NIH HHS
ID : U19 AI118610
Pays : United States
Organisme : NIAID NIH HHS
ID : U19 AI135972
Pays : United States
Commentaires et corrections
Type : UpdateOf
Déclaration de conflit d'intérêts
E.R. is a co-founder of Medaware, Metabomed, and Pangea Therapeutics (divested from the latter). E.R. serves as a nonpaid scientific consultant to Pangea Therapeutics, a company developing a precision oncology SL-based multi-omics approach. The other authors declare no competing interests.
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