Statistical Investigation for Some Classes of Alkanes Through Graph Indices

https://doi.org/10.46610/JOSME.2023.v09i01.002

Abstract

Topological indices are numerical descriptors that may be produced from a molecular graph to thoroughly analyze the medications. They are frequently employed in the analysis and forecasting of the physicochemical features of several pharmaceuticals. Numerous forms of polynomials and topological indices are computed, which serves as representations of chemical structure, and are crucial to chemical graph theory. The findings already obtained may be improved, and there may be a greater link to the various physical features of chemical substances, as a consequence of modifications and generalizations of the conventional topological indices. We suggest seven brand-new distance-based topological indices in this communication. We further investigate these suggested topological indices for several frequently occurring chemical structures from chemical graph theory.