Others This article explores the transformative impact of artificial intelligence (AI) on drug discovery, highlighting its significant contributions and innovative applications within the pharmaceutical domain. AI-driven approaches have revolutionized various stages of the drug discovery pipeline, offering novel solutions to longstanding challenges and accelerating the development of new therapeutic candidates. Key advancements facilitated by AI include target identification, virtual screening, structure-activity relationship (SAR) modeling, de novo drug design, optimization of drug candidates, drug repurposing, toxicity prediction, and more. Through advanced algorithms and machine learning techniques, AI systems analyze diverse datasets, predict molecular interactions, and optimize drug properties, ultimately expediting the discovery of safe and effective medications. Additionally, the article discusses specific AI tools and models utilized in drug discovery, underscoring the dynamic landscape of AI-driven innovation in pharmaceutical research. By harnessing the power of AI, researchers can navigate the complex landscape of drug discovery more efficiently, ultimately paving the way for improved treatments and better patient outcomes.