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Non-neighbor Topological Indices on Covid-19 Drugs with QSPR Analysis
International Conference on Mathematics and Computing, ICMC 2022 ; 415:263-277, 2022.
Article in English | Scopus | ID: covidwho-2283413
ABSTRACT
Coronavirus (COVID-19) is one of the recent infectious diseases caused by the virus SARS-CoV-2. The virus causes mild to severe respiratory problems which may lead to death in most cases. There is currently no precise or effective medication available to treat COVID-19 patients. Researchers and many pharmaceutical industries are working toward novel therapeutics and repurposed drugs for coronavirus. In this study, we consider some investigational antiviral drugs like Nitazoxanide, Imatinib, Famotidine, Galidesivir, and Artesunate that are used for the treatment of COVID-19. For this purpose, here we define various non-neighbor topological indices over the above aforesaid antiviral drugs to investigate the physicochemical properties associated with the indices. Further QSPR analysis was carried out between seven non-neighbor topological indices and eight physicochemical properties for the above drugs using the Linear regression method. The result obtained could aid in discovering new vaccines and drugs for COVID-19 disease. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: International Conference on Mathematics and Computing, ICMC 2022 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: International Conference on Mathematics and Computing, ICMC 2022 Year: 2022 Document Type: Article