Aim: The identification of drugs for the coronavirus disease-19 pandemic remains urgent. In this manner, drug repurposing is a suitable strategy, saving resources and time normally spent during regular drug discovery frameworks. Essential for viral replication, the main protease has been explored as a promising target for the drug discovery process. Materials & methods: Our virtual screening pipeline relies on the known 3D properties of noncovalent ligands and features of crystalized complexes, applying consensus analyses in each step. Results: Two oral (bedaquiline and glibenclamide) and one buccal drug (miconazole) presented 3D similarity to known ligands, reasonable predicted binding modes and micromolar predicted binding affinity values. Conclusion: We identified three approved drugs as promising inhibitors of the main viral protease and suggested design insights for future studies for development of novel selective inhibitors. Graphical abstract
【초록키워드】 pandemic, Drug discovery, drug, protease, inhibitors, binding affinity, Coronavirus disease-19, viral replication, inhibitor, resource, Ligand, Analysis, similarity, approved drug, Consensus, Abstract, ligands, material, selective, feature, predicted, suggested, complexes, binding mode, Essential, virtual screening pipeline, 【제목키워드】 Virtual screening, in silico, applied, the SARS-CoV-2,