Predictive Modelling of Drug Discovery Using Machine Learning

Machine learning (ML) and artificial intelligence (AI) are revolutionizing drug discovery, expediting and enhancing various stages of the complex process. ML algorithms analyze vast datasets, predict molecular interactions, optimize lead compounds, and identify potential drug targets. This research paper examines ML's applications in drug discovery, focusing on virtual screening, predictive modelling, and precision medicine. Key challenges and future directions for integrating ML into pharmaceutical research are also addressed.