Artificial Inteligence Used in Drug Discovery

The traditional drug discovery process is time consuming, costly and often yields limited success. Recent advancements in artificial intelligence (AI) have transformed the landscape of drug discovery, enabling faster, more accurate, and cost-effective identification of potential therapeutic candidates. AI powered approaches, such as machine learning (ML) and deep learning (DL), are being employed to analyze vast amounts of biological and chemical data, predict molecular interactions, and optimize lead compounds. This abstract review the current state of AI in drug discovery, highlighting its applications in target identification, compound screening, and lead optimization. We also discuss the challenges and future directions of AI driven drug discovery, emphasizing the potential for AI to revolutionize the development of novel therapeutics.