On the QSPR Models of some Anti-Malaria Drugs using some Reversed Degree-Based Topological Indices

Authors

  • Hassan Ibrahim
    Department of Mathematics, Federal University of Lafia, PMB 146, Lafia, Nigeria
  • Gladys Amos Shewa
    Department of Mathematics, Taraba State University, PMB 1167, Jalingo, Nigeria
  • Babatunde Adewale Aderibigbe
    Department of Mathematics, Federal University of Lafia, PMB 146, Lafia, Nigeria

Keywords:

Array, Array, Array, Array

Abstract

A topological index is a real number obtained from the chemical structure of a molecular graph that can be used to predict the physiochemical and biological properties of chemical compounds like drugs and benzene structures. This study aimed at proposing a quantitative structure-property relationship (QSPR) model for some physiological and biological properties of some anti-malaria drugs. Some reversed-degree-based topological indices of the molecular graphs of these drugs were computed; hence, a linear regression model analysis of these indices with the empirical values of the said properties of these drugs was carried out and presented. It was found that the topological indices computed for the said drugs have a good correlation with these physicochemical properties.

Dimensions

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Front

Published

2024-06-25

How to Cite

On the QSPR Models of some Anti-Malaria Drugs using some Reversed Degree-Based Topological Indices. (2024). Lafia Journal of Scientific and Industrial Research, 2(2), 82-89. https://doi.org/10.62050/ljsir2024.v2n2.296

Issue

Volume 2, Issue 2 (October, 2024), Lafia Journal of Scientific and Industrial Research (LJSIR)

Section

Physical Sciences
Copyright & Licensing

Copyright (c) 2024 Lafia Journal of Scientific and Industrial Research

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

On the QSPR Models of some Anti-Malaria Drugs using some Reversed Degree-Based Topological Indices. (2024). Lafia Journal of Scientific and Industrial Research, 2(2), 82-89. https://doi.org/10.62050/ljsir2024.v2n2.296

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