DISTANCE-BASED TOPOLOGICAL INDICES OF THE MOLECULARSTRUCTURE OF SOME DRUGS FOR TREATING CANCER PATIENTS

Auteur/ices

  • Hassan Ibrahim
    Federal University of Lafia, Nigeria
  • Mbai Nannim Lohnap
    Federal University of Lafia, Nigeria
  • Atanyi Yusuf Emmanuel
    Federal University of Lafia, Nigeria

Mots-clés :

Connected Graph , Wiener Index , Hosoya Polynomial , , Molecular Structure , , Linear Regression.

Résumé

Topological descriptors are key tools for analyzing the intrinsic properties of chemical graphs and nanostructures, capturing molecular symmetry through graph invariants such as vertex degree, distance, and spectrum. This study investigates vertex-distance-based indices, namely: the Wiener and Hosoya indices, for selected anticancer drugs. Using linear regression models, the indices were correlated with the drugs’ physicochemical and biological properties through a Quantitative Structure–Property Relationship (QSPR) analysis, providing insight into their linear relationships and potential applications in drug design.

Biographies des auteurs

Hassan Ibrahim

Department of Mathematics

Mbai Nannim Lohnap

Department of Mathematics

Atanyi Yusuf Emmanuel

Department of Mathematics

Dimensions

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Publiée

2026-02-12

Comment citer

DISTANCE-BASED TOPOLOGICAL INDICES OF THE MOLECULARSTRUCTURE OF SOME DRUGS FOR TREATING CANCER PATIENTS. (2026). FULafia Journal of Science and Technology , 10(1), 125-131. https://doi.org/10.62050/fjst2026.v10n1.709

Numéro

Vol. 10 No 1 (2026): Fulafia Journal of Science and Technology (FJST)

Rubrique

Physical Sciences
Copyright & Licensing

Comment citer

DISTANCE-BASED TOPOLOGICAL INDICES OF THE MOLECULARSTRUCTURE OF SOME DRUGS FOR TREATING CANCER PATIENTS. (2026). FULafia Journal of Science and Technology , 10(1), 125-131. https://doi.org/10.62050/fjst2026.v10n1.709

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