On Computation of Entropy Measures and Molecular Descriptors for Isomeric Natural Polymers

Glycogen is a polysaccharide that has a large number of highly branched polymers. It has a structure that is nearly identical to that of amylopectin. It can be found in practically all animal cells and some plant cells. Glycogen is a natural polysaccharide polymer with features that make it a good antiparticle carrier for cancer therapeutics. It is not only biocompatible by nature but also be chemically modified to accommodate additional molecular components. Topological indices are used to create quantitative structure-activity relationships (QSARs), in which the biological activity or other properties of molecules are linked to their chemical structure. We estimated certain K^ Banhatti and Gourava indices of natural polymers of polysaccharides, namely, glycogen and amylopectin, which have therapeutic applications, extraordinary features, and fascinating molecular framework, in this study. We also discovered some relationships between K^ Banhatti indices and information entropies, as well as a relationship between Gourava indices and their respective information entropies. In addition, we give a comparative analysis of these macromolecule families using graphs to highlight their nature.