In Silico Identification of a Potent Arsenic Based Approved Drug Darinaparsin against SARS-CoV-2: Inhibitor of RNA Dependent RNA polymerase (RdRp) and Essential Proteases

Background: COVID-19 is a life-threatening novel corona viral infection to our civilization and spreading rapidly. Tremendousefforts have been made by the researchers to search for a drug to control SARS-CoV-2. Methods: Here, a series of arsenical derivatives were optimized and analyzed with in silico study to search the inhibitor of RNA dependent RNA polymerase (RdRp), the major replication factor of SARS-CoV-2. All the optimized derivatives were blindly docked with RdRp of SARS-CoV-2 using iGEMDOCK v2.1. Results: Based on the lower idock score in the catalytic pocket of RdRp, darinaparsin (-82.52 kcal/- mol) was revealed to be the most effective among them. Darinaparsin strongly binds with both Nsp9 replicase protein (-8.77 kcal/mol) and Nsp15 endoribonuclease (-8.3 kcal/mol) of SARS-- CoV-2 as confirmed from the AutoDock analysis. During infection, the ssRNA of SARS-CoV-2 is translated into large polyproteins forming viral replication complex by specific proteases like 3CL protease and papain protease. This is also another target to control the virus infection where darinaparsin also performs the inhibitory role to proteases of 3CL protease (-7.69 kcal/mol) and papain protease (-8.43 kcal/mol). Conclusion: In the host cell, the furin protease serves as a gateway to the viral entry and darinaparsin docked with furin protease, which revealed a strong binding affinity. Thus, screening of potential arsenic drugs would help in providing the fast in-vitro to in-vivo analysis towards the development of therapeutics against SARS-CoV-2.