1996/01/01 by Subhash C. Basak, Brian D. Gute, Gregory D. Grunwald · 1 citation
Computer Science · Chemistry · #Computational Drug Discovery Methods #Free Radicals and Antioxidants #Analytical Chemistry and Chromatography
paper · doi:10.1021/ci960024i
openalex publication_date 1996/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/06/26
We have used topological, topochemical and geometrical parameters in predicting: (a) normal boiling point of a set of 1023 chemicals and (b) lipophilicity (log P, octanol/water) of 219 chemicals. The results show that topological and topochemical variables can explain most of the variance in the data. The addition of geometrical parameters to the models provide marginal improvement in the model's predictive power. Among the three classes of descriptors, the topochemical indices were the most effective in predicting properties.