Assessment of antiviral potencies of cannabinoids against SARS-CoV-2 using computational and in vitro approaches
- Authors
- Raj, Vinit; Park, Jae Gyu; Cho, Kiu-Hyung; Choi, Pilju; Kim, Taejung; Ham, Jungyeob; Lee, Jintae
- Issue Date
- 2021-01-31
- Publisher
- ELSEVIER
- Citation
- INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES, v.168, pp.474 - 485
- Abstract
- Effective treatment choices to the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) are limited because of the absence of effective target-based therapeutics. The main object of the current research was to estimate the antiviral activity of cannabinoids (CBDs) against the human coronavirus SARS-CoV-2. In the presented research work, we performed in silico and in vitro experiments to aid the sighting of lead CBDs for treating the viral infections of SARS-CoV-2. Virtual screening was carried out for interactions between 32 CBDs and the SARS-CoV-2 M-pro enzyme. Afterward, in vitro antiviral activity was carried out of five CBDs molecules against SARS-CoV-2. Interestingly, among them, two CBDs molecules namely Delta(9)-tetrahydrocannabinol (IC50 = 10.25 mu M) and cannabidiol (IC50 = 7.91 mu M) were observed to be more potent antiviral molecules against SARS-CoV-2 compared to the reference drugs lopinavir, chloroquine, and remdesivir (IC50 ranges of 8.16-13.15 mu M). These molecules were found to have stable conformations with the active binding pocket of the SARS-CoV-2 M-pro by molecular dynamic simulation and density functional theory. Our findings suggest cannabidiol and Delta(9)-tetrahydrocannabinol are possible drugs against human coronavirus that might be used in combination or with other drug molecules to treat COVID-19 patients. (c) 2020 Published by Elsevier B.V.
- Keywords
- DENSITY-FUNCTIONAL-APPROACH; CB2 RECEPTORS; CANNABIDIOL; DESIGN; DENSITY-FUNCTIONAL-APPROACH; CB2 RECEPTORS; CANNABIDIOL; DESIGN; Cannabinols; In vitro antiviral assay; SARS-CoV-2 and M-pro enzyme
- ISSN
- 0141-8130
- URI
- https://pubs.kist.re.kr/handle/201004/117496
- DOI
- 10.1016/j.ijbiomac.2020.12.020
- Appears in Collections:
- KIST Article > 2021
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