Authors: Dr. Ananya Mehta, Dr. Rajesh Kumar Singh
Abstract: Artificial intelligence (AI) has emerged as a transformative technology in the field of pharmaceutical research, particularly in drug discovery. Traditionally, drug discovery has been a time-consuming, expensive, and highly uncertain process, often taking over a decade and billions of dollars to bring a new drug to market. However, AI offers a new paradigm by enabling faster identification of potential drug candidates, prediction of molecular properties, and optimization of clinical trial design. This paper explores the current applications of AI in drug discovery, discusses recent literature and technological advances, highlights challenges faced by researchers, and evaluates the scope for future innovations. The review emphasizes how AI can bridge gaps between biological complexity and computational efficiency, potentially revolutionizing the way new therapeutics are designed and developed.
Keywords: Artificial Intelligence, Machine Learning, Deep Learning, Drug Discovery, Molecular Modeling, Pharmacokinetics, Virtual Screening, Drug Repurposing
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