• Surya Prem Kumar
• Waseema Sultana, Mote Srinath
• annavada Sudha Rani, Agganoor SreelekVha
• Manubotula Durga Sahithya, Syeda Fakiha Mehreen
• Kethavath Srinivas Naik

The ongoing pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARSCoV2) continues to represent a grave threat to the human population due to structural alterations and resistance to immunization. This needs the development of an effective treatment that will multi-target both viral proteins and their receptors in humans. In this study, we evaluated FDA approved antiviral medicines against many protein targets. Docking was performed on 18 FDA approved medicines used in the treatment of respiratory infections against seven key SARS CoV-2 proteins and two human proteins. We compared the binding energies and hydrogen bonds of the drugs at each target. The study found that anti-viral medications used in the treatment of influenza infection was superior to other drugs in interacting with target protein molecules at different sites. Among the top-hit anti-viral drugs, ribavirin, zanamivir, and molnupiravir demonstrated the best binding with the lowest binding energies and the most number of hydrogen bonds. Our "two-way" virtual docking screen also provides a framework for prioritizing medicines for testing in future situations that require quickly available clinical treatments and/or treating diseases with a moderate number of targets.

SARS CoV-2; In silico docking; anti-viral drugs; COVID-19

"In silico evaluation of various anti-viral drugs for their efficiency against multiple SARS CoV-2 drug targets", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 2, page no.f503-f515, February-2023, Available :http://www.jetir.org/papers/JETIR2302558.pdf

"In silico evaluation of various anti-viral drugs for their efficiency against multiple SARS CoV-2 drug targets", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 2, page no. ppf503-f515, February-2023, Available at : http://www.jetir.org/papers/JETIR2302558.pdf