| Autor: |
Öztürk Sözen, Esra, Eryaşar, Elif |
| Předmět: |
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| Zdroj: |
Molecular Physics; Dec2023, Vol. 121 Issue 24, p1-19, 19p |
| Abstrakt: |
In this article, we design new distance-based topological indices which are computed by a recent polynomial approach. Also, we present a chemical application on the suitability of these indices with some drugs used for the treatment of COVID-19 via QSPR analysis. Curvilinear regression models are obtained and analysed for the physico-chemical properties of the COVID-19 drugs. Our models and findings could aid in the development of new drugs for the treatment of COVID-19. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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