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Topological Indices are one of the best molecular descriptors which are widely used in the study of structural properties of various chemicals. Also, they are very much useful in QSPR/QSAR studies. Among several topological indices, distance-based indices are emerging and attracted researchers across the world. In this article, we study the recently introduced sixteen different distance-based topological indices for eleven anti-cancer drugs and also performed QSPR analysis to identify the best predictors for the physico-chemical properties namely, Molar Refractivity, Complexity, Molar Volume, Heavy Atom Count, Monoisotopic Mass and Topological Polar Surface Area with the help of those computed values of the indices.
