Topological Analysis of NSAID Drugs Using Graph Theory and Linear Regression Models

Raghavendra M. R., Prakasha K. N., Dixit A. C., ÖZDEN AYNA H., YURTTAŞ GÜNEŞ A., CANGÜL İ. N.

BOLETIM SOCIEDADE PARANAENSE DE MATEMATICA, vol.44, pp.20, 2026 (ESCI, Scopus) identifier

  • Publication Type: Article / Article
  • Volume: 44
  • Publication Date: 2026
  • Doi Number: 10.5269/bspm.78157
  • Journal Name: BOLETIM SOCIEDADE PARANAENSE DE MATEMATICA
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus, MathSciNet, zbMATH, Directory of Open Access Journals
  • Page Numbers: pp.20
  • Bursa Uludag University Affiliated: Yes

Abstract

This paper deals with the topological analysis of quantitative structure-property rela-tionships(QSPR) of nonsteroidal anti-inflammatory drugs(NSAID). Here we consider four different degree based indices such as Randic type lo deg, Randic type hadi, Exponential fraction and Randic type SDI indices. We employ the linear regression models, and data science approaches.