Manharan Yadav

Artificial Intelligence for Drug-Likeness Prediction: An Intelligent Framework for Chemical Compound Screening

An AI-based framework for predicting drug-likeness using molecular descriptors derived from chemical structures is proposed that integrates data preprocessing, feature selection, machine learning model development, and performance evaluation using metrics such as accuracy, precision, recall, F1-score, and AUROC.