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

Abstract

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.

On K-Banhatti, Revan Indices and Entropy Measures of MgO(111) Nanosheets via Linear Regression

“…The K-Banhatti indices and entropy measures are also very well-known indices to study molecular graphs of compounds. These indices have been applied to analyze the topological characteristics of natural polymers, such as cellulose networks [11]. Ghani et al looked into the entropies and K-Banhatti indices of C 6 H 6 in various chemical networks [12].…”

“…Entropy is a fundamental concept in various fields such as information theory, thermodynamics, and statistical mechanics, and is important in understanding the behavior and characteristics of systems. Mansoor et al [11] looked into determining molecular descriptors along with entropy measures for isomeric natural polymers. Shannon introduced the concept of entropy to quantify a system's randomness and information content.…”

On K-Banhatti indices and entropy measure for rhodium (III) chloride via linear regression models

“…Zhang et al [39] , [40] discuss the topological indices of generalized bridge molecular graphs, Carbon Nanotubes, and products of chemical graphs. Shazia et al [26] computed the Entropy Measures for Isomeric Natural Polymers.…”