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Drug repurposing and computational modeling for discovery of inhibitors of the main protease (M(pro)) of SARS-CoV-2
The main protease (M(pro) or 3CL(pro)) is a conserved cysteine protease from the coronaviruses and started to be considered an important drug target for developing antivirals, as it produced a deadly outbreak of COVID-19. Herein, we used a combination of drug reposition and computational modeling ap...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9036595/ https://www.ncbi.nlm.nih.gov/pubmed/35479789 http://dx.doi.org/10.1039/d1ra03956c |
Sumario: | The main protease (M(pro) or 3CL(pro)) is a conserved cysteine protease from the coronaviruses and started to be considered an important drug target for developing antivirals, as it produced a deadly outbreak of COVID-19. Herein, we used a combination of drug reposition and computational modeling approaches including molecular docking, molecular dynamics (MD) simulations, and the calculated binding free energy to evaluate a set of drugs in complex with the M(pro) enzyme. Particularly, our results show that darunavir and triptorelin drugs have favorable binding free energy (−63.70 and −77.28 kcal mol(−1), respectively) in complex with the M(pro) enzyme. Based on the results, the structural and energetic features that explain why some drugs can be repositioned to inhibit M(pro) from SARS-CoV-2 were exposed. These features should be considered for the design of novel M(pro) inhibitors. |
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