Natarajan Chidambaram, Yashika Vadivel, Shivaragavi R, Vignesh Ravi
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引用次数: 0
Abstract
Chemical graph theory facilitates the understanding of the complex structure of molecules. Researchers can achieve a thorough understanding of the physical science, chemical properties, and bio-organic characteristics of pharmaceuticals through the calculation of resolvability and topological parameters in drug design. The resolvability constraints for graph \(G=(V, E)\) constitute a complex domain in which the framework is structured so that each vertex (atom) or edge (bond) denotes a distinct position. This study aims to utilize molecular graph theory to identify specific graph-theoretic parameters associated with the molecular graphs of eight medications used in malaria treatment. This paper presents resolvability parameters, including metric dimension (MD) and edge metric dimension (EMD), for eight medications used in malaria treatment. We demonstrate that the resolvability parameters for the specified drugs are both bounded and constant. This property facilitates molecular identification, verifies graph isomorphism, and functions as a valuable topological descriptor in QSAR/QSPR modeling. Furthermore, it improves chemical database indexing and feature generation for machine learning, facilitating efficient structure-based analysis in drug discovery and material design.
期刊介绍:
EPJ E publishes papers describing advances in the understanding of physical aspects of Soft, Liquid and Living Systems.
Soft matter is a generic term for a large group of condensed, often heterogeneous systems -- often also called complex fluids -- that display a large response to weak external perturbations and that possess properties governed by slow internal dynamics.
Flowing matter refers to all systems that can actually flow, from simple to multiphase liquids, from foams to granular matter.
Living matter concerns the new physics that emerges from novel insights into the properties and behaviours of living systems. Furthermore, it aims at developing new concepts and quantitative approaches for the study of biological phenomena. Approaches from soft matter physics and statistical physics play a key role in this research.
The journal includes reports of experimental, computational and theoretical studies and appeals to the broad interdisciplinary communities including physics, chemistry, biology, mathematics and materials science.