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One of the most infectious diseases in recorded human history, Coronavirus Disease-19 (COVID-19), is a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-related illness that has already claimed millions of lives throughout the globe. There are currently no known vaccinations or viable treatments that can effectively treat COVID-19 patients or stop the virus from spreading. The development of medications and vaccinations may take a long time, but scientific communities all around the world have responded quickly and have been working nonstop on them. Repurposing the already available antiviral medications may be the best course of action in the face of this uncertainty to hasten the development of efficient treatments for SARS-CoV-2. Updated information is also required on potential pharmacological targets, therapeutic and vaccine development, and results. For numerous COVID-19 antiviral medications, we suggest status distance-based polynomials and topological descriptors in this work. We also examine the suggested topological indices' QSPR model. The discovery of novel medications for the treatment of COVID-19 may be aided by our models and findings.
About the author
Dr. K. Pattabiraman earned his doctorate degree from Annamalai University with special focus on Mathematical Chemistry. He possesses seventeen years of experience in the field of Mathematics for both research and teaching. He published more than hundred papers in the reputed International Journals.
