S. Pandian

Topological indices and machine learning techniques for quantitative structure property relationship analysis of antidiabetic drugs

In the present work, degree-based, degree-sum-based, and reverse-degree-based topological indices are examined under a bond partitioning framework for a series of antidiabetic drug molecules and reveal strong correlations between these indices and key physicochemical attributes, confirming their predictive relevance.