Publication | Open Access
Identification of potential molecules against COVID-19 main protease through structure-guided virtual screening approach
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Citations
39
References
2020
Year
The pandemic caused by novel coronavirus disease 2019 (COVID-19) infecting millions of populations worldwide and counting, has demanded quick and potential therapeutic strategies. Current approved drugs or molecules under clinical trials can be a good pool for repurposing through <i>in-silico</i> techniques to quickly identify promising drug candidates. The structural information of recently released crystal structures of main protease (M<sup>pro</sup>) in APO and complex with inhibitors, N3, and 13b molecules was utilized to explore the binding site architecture through Molecular dynamics (MD) simulations. The stable state of M<sup>pro</sup> was used to conduct extensive virtual screening of the aforementioned drug pool. Considering the recent success of HIV protease molecules, we also used anti-protease molecules for drug repurposing purposes. The identified top hits were further evaluated through MD simulations followed by the binding free energy calculations using MM-GBSA. Interestingly, in our screening, several promising drugs stand out as potential inhibitors of M<sup>pro</sup>. However, based on control (N3 and 13b), we have identified six potential molecules, Leupeptin Hemisulphate, Pepstatin A, Nelfinavir, Birinapant, Lypression and Octreotide which have shown the reasonably significant MM-GBSA score. Further insight shows that the molecules form stable interactions with <i>hot-spot</i> residues, that are mainly conserved and can be targeted for structure- and pharmacophore-based designing. The pharmacokinetic annotations and therapeutic importance have suggested that these molecules possess drug-like properties and pave their way for <i>in-vitro</i> studies.Communicated by Ramaswamy H. Sarma.
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