2001/03/15 by Milan Randić · 1 voice · 2 citations
Chemistry · Computer Science · Mathematics · #Computational Drug Discovery Methods #Free Radicals and Antioxidants #Graph theory and applications
paper · doi:10.1021/ci0001031
openalex publication_date 2001/03/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/30
We report on novel graph theoretical indices which are sensitive to the shapes of molecular graphs. In contrast to the Kier's kappa shape indices which were based on a comparison of a molecular graph with graphs representing the extreme shapes, the linear graph and the "star" graph, the new shape indices are obtained by considering for all atoms the number of paths and the number of walks within a graph and then making the quotients of the number of paths and the number of walks the same length. The new shape indices show much higher discrimination among isomers when compared to the kappa shape indices. We report the new shape indices for smaller alkanes and several cyclic structures and illustrate their use in structure-property correlations. The new indices offer regressions of high quality for diverse physicochemical properties of octanes. They also have lead to a novel classification of physicochemical properties of alkanes.