QSPR Analysis of Anti-asthma Drugs Using Some Recent Neighbourhood Degree-Based Topological Descriptors

Asthma is one of the predominant diseases across the World. Several medications have been discovered to treat asthma but still, it cannot be cured completely due to its changing behaviour. Numerous research articles are available in the literature that deal with asthma medications. In this article, we make a QSPR analysis using regression models on nineteen anti-asthma drugs to study the correlation between six physicochemical attributes such as Boiling Point, Enthalpy, Flash Point, log P, Molar Volume, Molar Refractivity of those chosen drugs and fourteen different neighbourhood-degree based topological descriptors that have been developed recently.