Virtual Screening Approaches Towards the Discovery of Toll-like Receptor 7 (TLR7) Antagonists for the Management of Rheumatoid Arthritis During COVID Infection

Background: Rheumatoid arthritis(RA) patients prompt to have high level of TLR7, when coronavirus (CoV-2) infect to these patients, further the level of TLR7 cloud be upregulated and leads to severe condition of RA. Since, some TLR7 antagonists targeting the TLR7 protein are in the clinical trials, but yet to reach the market, and many lead to serious toxicities. Objective: So, we have framed a hypothesis to discover the TLR7 antagonist that may inhibit to the upregulation of TLR 7 in RA patients during the CoV-2infection via virtual screening meth-odology. Methods: Here we have focused to discover some novel TLR7 inhibitors from the ZINC data-base,which may effectively inhibit TLR7. Series of virtual screening analysis lead to the discov-ery of three active hits. Results: Among these three molecules, ZINC95412580 had a highest binding energy of -15.4273 kcal/mol against the TLR7 protein (PDB Id: 6LW1) that also showed the maximum interactions within the binding pocket. Conclusion: Thus, the compounds discovered through the use of various software can possibly be used for the management of rheumatoid arthritis during and after COVID infection. Hence, we can conclude that these molecules might be served as the inhibitors of TLR7 upregulation.