QUARTIC REGRESSION MODELS FOR SOME ANTI- HEPATITIS DRUGS

Çiftçi İ.

20TH INTERNATIONAL ISTANBUL SCIENTIFIC RESEARCH CONGRESS ON LIFE, ENGINEERING, ARCHITECTURE AND MATHEMATICAL SCIENCES, İstanbul, Türkiye, 21 - 23 Şubat 2025, ss.1-2, (Özet Bildiri)

  • Yayın Türü: Bildiri / Özet Bildiri
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1-2
  • Van Yüzüncü Yıl Üniversitesi Adresli: Evet

Özet

Numerous techniques with significant applications in drug design and development are made possible by chemical graph theory. Recently, the neighbor vertex degree has been used to define the Van topological indices. In this work, regression models using 22 benzenoid hydrocarbons are usedto investigate the chemical applicability of the Van topological indices. This study examines the Van topological indices’ chemical application by examining their correlation with the physico-chemical

characteristics of benzenoid hydrocarbons using curvilinear regression models. Van topological indices may be used as a predictive index for boiling point (BO), π-electron energy (π-ele), molecular weight (MW), polarizability (PO), molar volume (MV), and molar refractivity (MF), according to statistical analysis data.

Keywords: Regression models, benzenoid hydrocarbons, Van indices, topological descriptors, physicochemical characteristics.