Multidimensional in silico strategy for identification of natural polyphenols-based SARS-CoV-2 main protease (M
COVID-19
Flavonoids
Molecular docking
Molecular dynamics simulation
Quantum mechanic
SARS CoV-2 M(pro)
Journal
Computers in biology and medicine
ISSN: 1879-0534
Titre abrégé: Comput Biol Med
Pays: United States
ID NLM: 1250250
Informations de publication
Date de publication:
06 2022
06 2022
Historique:
received:
06
05
2021
revised:
13
07
2021
accepted:
23
03
2022
pubmed:
2
4
2022
medline:
20
5
2022
entrez:
1
4
2022
Statut:
ppublish
Résumé
SARS-CoV-2, a rapidly spreading new strain of human coronavirus, has affected almost all the countries around the world. The lack of specific drugs against SARS-CoV-2 is a significant hurdle towards the successful treatment of COVID-19. Thus, there is an urgent need to boost up research for the development of effective therapeutics against COVID-19. In the current study, we investigated the efficacy of 81 medicinal plant-based bioactive compounds against SARS-CoV-2 M
Identifiants
pubmed: 35364308
pii: S0010-4825(22)00244-X
doi: 10.1016/j.compbiomed.2022.105452
pmc: PMC8957318
pii:
doi:
Substances chimiques
Polyphenols
0
Protease Inhibitors
0
3C-like proteinase, SARS-CoV-2
EC 3.4.22.-
Coronavirus 3C Proteases
EC 3.4.22.28
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
105452Informations de copyright
Copyright © 2022 Elsevier Ltd. All rights reserved.
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