Modified Polynomials of Anti-Malaria Disease Drug Networks

Abstract

The discipline of discrete mathematics, known as graph theory, examines how edges connect vertices. Mathematicians study graphs in the area of graph theory. An abstract depiction of several points connected by lines is called a graph. Each point is typically referred to as a vertex (more than one is referred to as vertices), and the lines are referred to as edges. So in chemistry or medicinal compounds, vertices become atoms and edges become bonds. Graphs are a tool for connection modeling. M-polynomials are a subject of great interest within the field of chemical networks since they are often used to elucidate the characteristics of molecular structures and processes. The computation of M-polynomials entails a series of procedural stages. In this article, we computed some modified polynomials of anti-malaria disease drug networks. The use of M-polynomials appears as a critical analytical tool in the area of anti-malaria drug networks. The dynamic linkages between molecular species and reactions inside the intricate web of drug interactions are specifically captured by M-polynomials. The structural and kinetic characteristics of these networks may be thoroughly investigated thanks to their algebraic structure, revealing possible weaknesses, the establishment of resistant strains, and the best intervention tactics. M-polynomials stand out as a useful lens as we navigate the complex anti-malarial drug design landscape, providing insights that go beyond conventional methodologies and paving the way for more effective and focused tactics in the fight against malaria.