The pharmacological and carcinogenic properties of the compounds were assessed with the aid of SwissADME . GrASP , a graph neural network (GNN) designed for druggable site prediction, utilizes a pre-trained model to identify potential binding pockets on receptors by processing structural information. The predicted sites were validated against known druggable sites. For further validation, P2Rank , a machine learning tool for predicting ligand binding sites on protein structures, was used. Gastrointestinal absorption is the process through which drugs or nutrients pass through the gastrointestinal tract to enter the bloodstream. Blood-Brain Barrier Permeation is the ability of a substance to cross the blood-brain barrier, a protective layer that restricts the passage of substances from the bloodstream into the brain. Drug likeness (Lipinski's Rule of Five) is a set of guidelines used to predict the likelihood that a chemical compound will be an orally active drug in humans, based on its molecular properties.