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The Potential Roles of Ficus carica Extract in the Management of COVID-19 Viral Infections: A Computer-aided Drug Design Study.
- Source :
-
Current computer-aided drug design [Curr Comput Aided Drug Des] 2024; Vol. 20 (6), pp. 974-986. - Publication Year :
- 2024
-
Abstract
- Introduction: The conventional processes of drug discovery are too expensive, timeconsuming and the success rate is limited. Searching for alternatives that have evident safety and potential efficacy could save money, time and improve the current therapeutic regimen outcomes.<br />Methods: Clinical phytotherapy implies the use of extracts of natural origin for prophylaxis, treatment, or management of human disorders. In this work, the potential role of common Fig ( Ficus carica ) in the management of COVID-19 infections has been explored. The antiviral effects of Cyanidin 3-rhamnoglucoside which is abundant in common Figs have been illustrated on COVID-19 targets. The immunomodulatory effect and the ability to ameliorate the cytokine storm associated with coronavirus infections have also been highlighted. This work involves various computational studies to investigate the potential roles of common figs in the management of COVID-19 viral infections.<br />Results: Two molecular docking studies of all active ingredients in common Figs were conducted starting with MOE to provide initial insights, followed by Autodock Vina for further confirmation of the results of the top five compounds with the best docking score.<br />Conclusion: Finally, Molecular dynamic simulation alongside MMPBSA calculations were conducted using GROMACS to endorse and validate the entire work.<br /> (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)
- Subjects :
- Humans
COVID-19
Molecular Dynamics Simulation
Ficus chemistry
Molecular Docking Simulation
COVID-19 Drug Treatment
Antiviral Agents pharmacology
Antiviral Agents chemistry
Antiviral Agents therapeutic use
Plant Extracts pharmacology
Plant Extracts therapeutic use
Plant Extracts chemistry
Drug Design
SARS-CoV-2 drug effects
Computer-Aided Design
Subjects
Details
- Language :
- English
- ISSN :
- 1875-6697
- Volume :
- 20
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Current computer-aided drug design
- Publication Type :
- Academic Journal
- Accession number :
- 37594095
- Full Text :
- https://doi.org/10.2174/1573409920666230818092445