ArticleFrontiers in chemistry2024
Computational measures of irregularity molecular descriptors of octahedral and icosahedral networks.
Article in Frontiers in chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Structural identifiability in crystalline molecular networks using strong metric dimension.Scientific reports · 2026Article
- Pharmacophore-based identification and in Silico characterization of microbial metabolites as potential modulators of Wnt signaling pathway in colorectal cancer therapy.Molecular diversity · 2025Article
- The role of Wnt/β-catenin signaling in lung cancer progression and therapy: a comprehensive review.Medical oncology (Northwood, London, England) · 2025Review
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3 authors.
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Abstract
Irregularity measures tend to describe the complexity of networks. Chemical graph theory is a branch of mathematical chemistry that has a significant impact on the development of the chemical sciences. The study of irregularity indices has recently become one of the most active research areas in chemical graph theory. Irregularity indices help us to examine many chemical and biological properties of chemical structures under study. In this article, we study the irregularity indices of the octahedral and icosahedral networks. These networks are used in crystallography, where the topology and structural aspects are carrying some important facts to determine the properties of large structures theoretically. Our results play an important role in pharmacy, drug design, and many other applied areas. We also compared our results graphically to conclude the irregularity with a change in the parameter of structures.
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