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The development of specific antiviral therapies targeting SARS-CoV-2 remains fundamental because of the continued high incidence of COVID-19 and limited accessibility to antivirals in some countries. In this context, dark chemical matter (DCM), a set of drug-like compounds with outstanding selectivity profiles that have never shown bioactivity despite being extensively assayed, appears to be an excellent starting point for drug development. Accordingly, in this study, we performed a high-throughput screening to identify inhibitors of the SARS-CoV-2 main protease (Mpro) using DCM compounds as ligands. Multiple receptors and two different docking scoring functions were employed to identify the best molecular docking poses. The selected structures were subjected to extensive conventional and Gaussian accelerated molecular dynamics. From the results, four compounds with the best molecular behavior and binding energy were selected for experimental testing, one of which presented inhibitory activity with a Ki value of 48 ± 5 μM. Through virtual screening, we identified a significant starting point for drug development, shedding new light on DCM compounds.
Virtual screening, Drug Evaluation, Preclinical, 610, Molecular dynamics, Molecular Dynamics Simulation, Ligands, COVID-19 (Malaltia), Antiviral Agents, Drug design, Article, Docking, SARS-CoV-2 main protease, COVID-19 (Disease), Drug Discovery, Dark chemical matter, Humans, Protease Inhibitors, Coronavirus 3C Proteases, SARS-CoV-2, Àrees temàtiques de la UPC::Enginyeria química, COVID-19, Protease inhibitors, 540, molecular dynamics, High-Throughput Screening Assays, Molecular Docking Simulation, Enzims proteolítics -- Inhibidors, MMPB/GBSA approach, Protein Binding
Virtual screening, Drug Evaluation, Preclinical, 610, Molecular dynamics, Molecular Dynamics Simulation, Ligands, COVID-19 (Malaltia), Antiviral Agents, Drug design, Article, Docking, SARS-CoV-2 main protease, COVID-19 (Disease), Drug Discovery, Dark chemical matter, Humans, Protease Inhibitors, Coronavirus 3C Proteases, SARS-CoV-2, Àrees temàtiques de la UPC::Enginyeria química, COVID-19, Protease inhibitors, 540, molecular dynamics, High-Throughput Screening Assays, Molecular Docking Simulation, Enzims proteolítics -- Inhibidors, MMPB/GBSA approach, Protein Binding
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