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Molecular docking unveils the potential of andrographolide derivatives against COVID-19: an in silico approach
- Source :
- Journal of Genetic Engineering and Biotechnology, Vol 20, Iss 1, Pp 1-16 (2022)
- Publication Year :
- 2022
- Publisher :
- Elsevier, 2022.
-
Abstract
- Abstract Background The recent severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection cause high mortality and there is an emergency need to develop a specific drug to treat the novel coronavirus disease, COVID-19. However, some natural and synthetic products with action against SARS-CoV-2 have been reported in recent research, there is no specific drug available for treating COVID-19. In the present study, molecular interaction analysis was performed for 16 semisynthetic andrographolides (AGP) against 5 SARS-CoV-2 enzymes main protease (Mpro, PDB: 6LU7), papain-like protease (PLpro, PDB: 6WUU), spike glycoprotein (S, PDB: 6VXX), NSP15 endoribonuclease (NSP15, PDB: 6VWW), and RNA-dependent RNA polymerase (RdRp, PDB: 6M71). Moreover, the compounds pharmacokinetic and toxic profiles were also analyzed using computational tools. Results The protein−ligand docking score (kcal/mol) revealed that all the tested AGP derivatives showed a better binding affinity towards all the tested enzymes than hydroxychloroquine (HCQ). Meanwhile, all the tested AGP derivatives showed a better binding score with RdRp and S than remdesivir (REM). Interestingly, compounds 12, 14, and 15 showed a better binding affinity towards the all the tested enzyme than AGP, REM, and HCQ. AGP-16 had shown − 8.7 kcal/mol binding/docking score for Mpro, AGP-15 showed − 8.6 kcal/mol for NSP15, and AGP-10, 13, and 15 exhibited − 8.7, − 8.9, and − 8.7 kcal/mol, respectively, for S. Conclusion Overall results of the present study concluded that AGP derivatives 14 and 15 could be the best ‘lead’ candidate for the treatment against SARS-CoV-2 infection. However, molecular dynamic studies and pharmacological screenings are essential to developing AGP derivatives 14 and 15 as a drug against COVID-19.
Details
- Language :
- English
- ISSN :
- 20905920
- Volume :
- 20
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Journal of Genetic Engineering and Biotechnology
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.b052387eb954e04a9845dcf1ef6daa6
- Document Type :
- article
- Full Text :
- https://doi.org/10.1186/s43141-022-00339-y