Inventors: Dr. Raviprasad Aduri, Dr. Sukanta Mondal

This paper focuses on developing predictive models for assessing the drug-likeness of small molecules. Drug-likeness is a critical factor in drug discovery, determining whether a molecule has the properties required for it to be a viable drug candidate. The study involves creating and validating computational models that predict drug-likeness based on various molecular descriptors, such as solubility, permeability, and toxicity. These models use machine learning and statistical techniques to analyze large datasets of known drugs and their properties. The goal is to enhance the drug discovery process by providing accurate, early-stage predictions of a molecule's potential as a drug candidate. (Biological Science)