Prediction of Refractive Index of Rice Blast Fungicides Using Eccentric Degree Index – A Graph Theoretic Approach

The theoretical characteristics of organic molecules of a variety of fungicides are actually represented by the physicochemical characteristics. This can be accomplished using topological indices. Various fungicides are used to prevent the rice blast disease, caused by a fungicides named Pyricularia oryzae. The refractive index of the fungicides used to prevent this disease, plays a role in the absorption of these fungicides. In this article, we develop a regression model for predicting the refractive index of fungicides using the eccentricity degree index. To do this, we define a new topological index based on distance and degree of the graph representation of the molecular structure of fungicides.