Author(s):
1. Faryal Chaudhry:
The University of Lahore,Lahore, Pakistan
Abstract:
This work investigates the structural properties of anti-cancer drug molecles through graph. Theoretic and computational approaches. Each drug is modeled as a molecular graph, and the metric dimension and edge metric dimension are calculated to analyze vertex and edge resolvability. The formulations and computations were implemented using Python algorithms, enabling efficient extraction of graph invariants. Furthermore, a regression model was applied to the calculated dimensions to identify correlations and predictive patterns among the molecular structures. The results demonstrate that combining graph theory with computational tools and statistical modeling offers valuable insights into the structural complexity of anti- cancer drugs, with potential applications in drug design and cheminformatics.
Page(s):
150-150
DOI:
DOI not available
Published:
Journal: 4th International Conference of Sciences “Revamped Scientific Outlook of 21st Century, 2025” , November 12,2025, Volume: 1, Issue: 1, Year: 2025
Keywords:
Metric dimension
,
edge metric dimension
References:
References are not available for this document.
Citations
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