A Multistage In Silico Study of Natural Potential Inhibitors Targeting SARS-CoV-2 Main Protease

针对SARS-CoV-2主蛋白酶的天然潜在抑制剂的多阶段计算机模拟研究

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Abstract

Among a group of 310 natural antiviral natural metabolites, our team identified three compounds as the most potent natural inhibitors against the SARS-CoV-2 main protease (PDB ID: 5R84), M(pro). The identified compounds are sattazolin and caprolactin A and B. A validated multistage in silico study was conducted using several techniques. First, the molecular structures of the selected metabolites were compared with that of GWS, the co-crystallized ligand of M(pro), in a structural similarity study. The aim of this study was to determine the thirty most similar metabolites (10%) that may bind to the M(pro) similar to GWS. Then, molecular docking against M(pro) and pharmacophore studies led to the choice of five metabolites that exhibited good binding modes against the M(pro) and good fit values against the generated pharmacophore model. Among them, three metabolites were chosen according to ADMET studies. The most promising M(pro) inhibitor was determined by toxicity and DFT studies to be caprolactin A (292). Finally, molecular dynamics (MD) simulation studies were performed for caprolactin A to confirm the obtained results and understand the thermodynamic characteristics of the binding. It is hoped that the accomplished results could represent a positive step in the battle against COVID-19 through further in vitro and in vivo studies on the selected compounds.

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