Graph theoretic approach for calculation of new Banhatti indices via recent algebraic polynomials with a chemical application
Yazarlar (2)
Doç. Dr. Esra ÖZTÜRK SÖZEN Sinop Üniversitesi, Türkiye
Arş. Gör. Elif ERYAŞAR Sinop Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Molecular Physics (Q3) | ||
| Dergi ISSN | 0026-8976 Dergi Bilgileri (2023) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2023 |
| Cilt / Sayı / Sayfa | 121 / 24 / – | DOI | 10.1080/00268976.2023.2245072 |
| Makale Linki | https://www.tandfonline.com/doi/full/10.1080/00268976.2023.2245072 | ||
| UAK Araştırma Alanları |
Cebir ve Sayılar Teorisi
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| Özet |
| 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. |
| Anahtar Kelimeler |
| Banhatti topological index | curvilinear regression | Polynomial | QSPR analysis |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 9 |
| Scopus | 9 |
| Google Scholar | 10 |