Graph-theoretical analysis of peripheral molecular descriptors for phloroglucinol used in the treatment of spasmodicpain
Abstract
This article presents a detailed mathematical analysis and computational approach to peripheral-based molecular descriptors of the phloroglucinol molecular graph, focusing on their relaionship with key chemical properties. Phloroglucinol, a polyphenolic compound with significant biochemical and pharmacological relevance, can be represented graph-theoretically, where molecular descriptors provide crutial insights into its structural and chemical behaviour. Using graph theory, we compute mostar index, that capture peripheral molecular features. The study highlights how these descriptors relate to phloroglucinol,s chemical properties, such as stability, reactivity, and potential biological activity. Furthermore, computational algorithms are employed to validate and optimize descriptor calculations, offering a comprehensive framework for studying the molecular characteristics of phloroglucinol. The findings contribute to the broader understanding of molecular graph theory applications in chemistry and pharmaceutical sciences.
Commun. Math. Biol. Neurosci.
ISSN 2052-2541
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Communications in Mathematical Biology and Neuroscience