On some neighbourhood degree-based topological indices with QSPR analysis of asthma drugs

One of the effective mathematical chemistry techniques that helps chemists and drug scientists look over the chemical and biological activities of chemical compounds or medications is the topological indices. The topological indices are frequently employed in Quantitative Structural Property Relationship (QSPR) modeling to study the physicochemical characteristics of chemical compounds without actually performing tests in a Wet lab, saving cost and time involved in the laboratory experiments. In this article, we compute eleven recently introduced neighbourhood degree-based indices for nineteen Asthma drugs and apply curvilinear regression models to perform QSPR analysis on the pharmaceuticals we selected for discussion.