This analysis calculates topological indices in cyclodecane polymers, suggesting implications for pharmacogenomics.
Cyclodecane, a remarkable cyclic hydrocarbon, comprises larger molecular structures or polymers formed by interlinking multiple cyclodecane rings. These interactions are crucial in pharmacogenomics, as the strategic design of a compound decisively influences its interactions with gene products, including enzymes and receptors. In the dynamic field of mathematical chemistry, chemical graph theory plays a crucial role in enhancing our understanding of the complex properties of chemical compounds. Currently, one of the most promising areas of research involves the calculation of topological indices. Among these indices, the First K hyper-Banhatti index, Second K hyper-Banhatti index, Modified first K-Banhatti index, and Modified second K-Banhatti index serve as important topological descriptors that significantly contribute to our analysis of the physicochemical, biological, and structural characteristics of chemical compounds. This article aims to determine the expected values of these topological descriptors for random cyclodecane chains, presenting our findings in significant numerical tables and insightful graphical representations. Through this exploration, we aim to deepen our appreciation of how these descriptors impact the fundamental properties of chemical compounds, paving the way for future discoveries in this compelling field.
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Agarwal et al. (2025) studied this question.
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