Stability and Maximum Independent Bond Set Polynomials of Painkiller Molecules Using Maximum Matching

Authors

  • Jiwan Jalal Ali Department of Mathematics, College of Science, University of Zakho, Zakho, Iraq
  • Didar Abdulkhaleq Ali Department of Mathematics, College of Science, University of Zakho, Zakho, Iraq

DOI:

https://doi.org/10.29020/nybg.ejpam.v18i2.5992

Keywords:

Maximum Matching, Graph polynomials , Topological Indices, Painkiller, Kekule Structure

Abstract

Chemical graph theory establishes a connection between the properties of molecules and their corresponding molecular graphs. A topological index is a graph invariant that characterizes the graph's structure and remains unaffected by graph automorphisms. In chemical graph theory, degree-based topological indices are particularly significant, offering crucial insights into the structural features of molecules. In this work, we introduce the maximum independent bond set polynomial $MIBSP(H;x,y)$, a powerful tool for deriving various degree-based topological indices. We specifically apply $MIBSP(H;x,y)$,  to the chemical graphs of several painkiller molecules, including Aspirin, Paracetamol, Caffeine, Ibuprofen, Phenacetin, and Salicylic acid. The degree-based topological indices derived from these polynomials provide a deeper understanding of the molecular structures and their potential applications in pharmaceutical research.

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Published

2025-05-01

Issue

Section

Discrete Mathematics

How to Cite

Stability and Maximum Independent Bond Set Polynomials of Painkiller Molecules Using Maximum Matching. (2025). European Journal of Pure and Applied Mathematics, 18(2), 5992. https://doi.org/10.29020/nybg.ejpam.v18i2.5992