Cheminformatics and QSAR‐Based Identification of Natural Bioactive Compounds as Potent Inhibitors of SARS‐CoV‐2 N‐7 Methyltransferases

Abstract

AbstractEver since the emergence of the COVID‐19 pandemic, to date, no specific and efficient therapeutic cure is available for the SARS‐CoV‐2 viral infection. Few reports have been observed with the late cardiovascular or neurodegenerative disorders that are associated with altered immunity. The nsp14 protein of SARS‐CoV‐2 is a key target for antiviral drug development as it controls replication of virus and evasion of host immune system. In this study, a consensus of cheminformatics approaches involving virtual screening, molecular docking, ADMET profiling, molecular dynamics simulations, free‐energy landscape, MM‐GBSA, DFT and 2D‐QSAR analysis is employed to discover the inhibitor of nsp14 protein. Our investigation reveals four natural bioactive compounds, i. e. ZINC2132169, ZINC8791872, ZINC8952607 and ZINC6624334 that possess enhanced binding affinity towards nsp14 protein with no predicted toxicity. Molecular docking, MD simulations and MM‐GBSA analysis established that all hit compounds strongly bind at the same pocket through hydrophobic interactions and hydrogen bonding. DFT analysis revealed greater reactivity of hit compounds and their stable complex formation with nsp14 protein, while the 2D‐QSAR (R2=0.92) predicted their pIC50 value in the range of 5.30–6.71 nM. These findings imply that hit compounds would be potent drug candidates in controlling the SARS‐CoV‐2 by inhibiting nsp14 protein.