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Computational Analysis of Non-Kekule Benzenoid Molecules for Medical Applications


Citation

Yow, K. S. and Javed, M. A. and Baig, A. Q. and Ahmad, M. and Ghareeb, S. and Qayyum, A. (2026) Computational Analysis of Non-Kekule Benzenoid Molecules for Medical Applications. Malaysian Journal of Mathematical Sciences, 20 (1). pp. 199-211. ISSN 1823-8343

Abstract

Non-Kekule benzenoid structures are molecular systems that cannot be represented by classical Kekule resonance forms with alternating single and double bonds. These compounds often possess unpaired electrons and exhibit distinct electronic characteristics, including diradical and polyradical behavior. In this study, we analyze the structural and topological properties of selected non-Kekule benzenoid systems by computing various molecular descriptors, including the Atom-Bond Connectivity (ABC) index, Geometric-Arithmetic (GA) index, Randić index, First and Second Zagreb indices, Hyper Zagreb index and the Forgotten index. These topological indices offer valuable insights into the connectivity and branching patterns of the molecules, contributing to a deeper understanding of their structural complexity. The results may serve as a foundation for future investigations into the potential applications of these systems in fields such as materials science and molecular design.


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Additional Metadata

Item Type: Article
Subject: Mathematics (all)
Divisions: Faculty of Science
Institute for Mathematical Research
DOI Number: https://doi.org/10.47836/mjms.20.1.10
Publisher: Universiti Putra Malaysia
Keywords: Aromatic systems; Non-kekule benzenoid structures; Polycyclic aromatic hydrocarbons (pahs); Zagreb indices (first second)
Depositing User: Ms. Siti Radziah Mohamed@mahmod
Date Deposited: 13 Apr 2026 07:43
Last Modified: 13 Apr 2026 07:43
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.47836/mjms.20.1.10
URI: http://psasir.upm.edu.my/id/eprint/124318
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