DEGREE BASED TOPOLOGICAL INVARIANTS OF CHEMICAL STRUCTURES OF DRUGS USED TO COMBAT OF COVID-19
Ravi Ratn Gaur and Pravin Garg
Department of Mathematics, University of Rajasthan, Jaipur-302004, Rajasthan, India
(Received: March 18, 2022; In format: April 13, 2022; Revised: September 14, 2022; Accepted: November 11, 2022)
The novel disease COVID-19 has been spreaded from Wuhan, China in the month of December 2019. As we know, the whole world is suffering from disease badly. COVID-19 affects the human community in different ways but still we are not able to produce a proper medication of COVID-19. Any existing or developed vaccine or drug is not providing great success in curing or handling this virus adequately. Whereas in this tough time, various pharmaceutical companies are trying to develop a proper medicine or vaccine for preventing this virus spread. In the procedure of developing drugs, Pfizer, a well-known bio-pharmaceutical company has developed two molecules PF − 07304814 and an enhancement over this molecule as PF − 00835231, which are used in the treatment of Coronavirus disease 2019 (COVID-19). Second drug PF − 00835231 is a powerful inhibitor of the corona virus family and it can help in avoiding two strain of SARS-CoV-2. It helps in killing of the cell of other coronavirus as well. This article proposes some topological indices of molecular graphs of PF − 00835231 and PF − 07304814 drugs that are based on degree and neighbourhood degree of vertices.
2020 Mathematical Sciences Classification: 05C07, 05C09, 05C31, 05C92.
Keywords and Phrases: Molecular graphs, neighborhood degree, topological indices, Pfizer(PF − 00835231) and Pfizer(PF − 07304814)
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