Antiviral drug discovery by targeting the SARS-CoV-2 polyprotein processing by inhibition of the main protease
- PMID: 35186496
- PMCID: PMC8833224
- DOI: 10.7717/peerj.12929
Antiviral drug discovery by targeting the SARS-CoV-2 polyprotein processing by inhibition of the main protease
Abstract
The spread of SARS-CoV-2, the causative agent for COVID-19, has led to a global and deadly pandemic. To date, few drugs have been approved for treating SARS-CoV-2 infections. In this study, a structure-based approach was adopted using the SARS-CoV-2 main protease (Mpro) and a carefully selected dataset of 37,060 compounds comprising Mpro and antiviral protein-specific libraries. The compounds passed two-step docking filtration, starting with standard precision (SP) followed by extra precision (XP) runs. Fourteen compounds with the highest XP docking scores were examined by 20 ns molecular dynamics simulations (MDs). Based on backbone route mean square deviations (RMSD) and molecular mechanics/generalized Born surface area (MM/GBSA) binding energy, four drugs were selected for comprehensive MDs analysis at 100 ns. Results indicated that birinapant, atazanavir, and ritonavir potently bound and stabilized SARS-CoV-2 Mpro structure. Binding energies higher than -102 kcal/mol, RMSD values <0.22 nm, formation of several hydrogen bonds with Mpro, favourable electrostatic contributions, and low radii of gyration were among the estimated factors contributing to the strength of the binding of these three compounds with Mpro. The top two compounds, atazanavir and birinapant, were tested for their ability to prevent SARS-CoV-2 plaque formation. At 10 µM of birinapant concentration, antiviral tests against SARS-CoV-2 demonstrated a 37% reduction of virus multiplication. Antiviral assays demonstrated that birinapant has high anti-SARS-CoV-2 activity in the low micromolar range, with an IC50 value of 18 ± 3.6 µM. Therefore, birinapant is a candidate for further investigation to determine whether it is a feasible therapy option.
Keywords: COVID-19; Drug discovery; Main protease; Molecular modeling; SARS-CoV-2.
©2022 Kandeel et al.
Conflict of interest statement
The authors declare there are no competing interests.
Figures
Similar articles
-
Aminoglycosides as potential inhibitors of SARS-CoV-2 main protease: an in silico drug repurposing study on FDA-approved antiviral and anti-infection agents.J Infect Public Health. 2021 May;14(5):611-619. doi: 10.1016/j.jiph.2021.01.016. Epub 2021 Feb 9. J Infect Public Health. 2021. PMID: 33866129 Free PMC article.
-
In Silico Evaluation of Prospective Anti-COVID-19 Drug Candidates as Potential SARS-CoV-2 Main Protease Inhibitors.Protein J. 2021 Jun;40(3):296-309. doi: 10.1007/s10930-020-09945-6. Epub 2021 Jan 2. Protein J. 2021. PMID: 33387249 Free PMC article.
-
Molecular docking and simulation studies on SARS-CoV-2 Mpro reveals Mitoxantrone, Leucovorin, Birinapant, and Dynasore as potent drugs against COVID-19.J Biomol Struct Dyn. 2021 Nov;39(18):7294-7305. doi: 10.1080/07391102.2020.1805019. Epub 2020 Aug 20. J Biomol Struct Dyn. 2021. PMID: 32815481 Free PMC article.
-
Structural biology of SARS-CoV-2 Mpro and drug discovery.Curr Opin Struct Biol. 2023 Oct;82:102667. doi: 10.1016/j.sbi.2023.102667. Epub 2023 Aug 4. Curr Opin Struct Biol. 2023. PMID: 37544112 Review.
-
Computational Approaches to Designing Antiviral Drugs against COVID-19: A Comprehensive Review.Curr Pharm Des. 2023;29(33):2601-2617. doi: 10.2174/0113816128259795231023193419. Curr Pharm Des. 2023. PMID: 37916490 Review.
Cited by
-
The Outcomes of Sodium-Glucose Co-transporter 2 Inhibitors (SGLT2I) on Diabetes-Associated Neuropathy: A Systematic Review and meta-Analysis.Front Pharmacol. 2022 Jul 11;13:926717. doi: 10.3389/fphar.2022.926717. eCollection 2022. Front Pharmacol. 2022. PMID: 35899123 Free PMC article.
References
-
- Abraham MJ, Murtola T, Schulz R, Páll S, Smith JC, Hess B, Lindahl E. GROMACS: high performance molecular simulations through multi-level parallelism from laptops to supercomputers. SoftwareX. 2015;1:19–25.
-
- Altaher Y, Nakanishi M, Kandeel M. Annotation of camel genome for estimation of drug binding power, evolution and adaption of cytochrome P450 1a2. International Journal of Pharmacology. 2015;11:243–247. doi: 10.3923/ijp.2015.243.247. - DOI
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
Research Materials
Miscellaneous
