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

Authors

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

Keywords:

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

Abstract

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.

Author Biographies

Hassan Ibrahim

Department of Mathematics

Mbai Nannim Lohnap

Department of Mathematics

Atanyi Yusuf Emmanuel

Department of Mathematics

Dimensions

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Published

12-02-2026

How to Cite

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

Issue

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

Section

Physical Sciences
Copyright & Licensing

How to Cite

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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