Unlocking the potential of generative AI in drug discovery

Drug Discov Today. 2024 Apr 23:103992. doi: 10.1016/j.drudis.2024.103992. Online ahead of print.ABSTRACTArtificial intelligence (AI) is revolutionizing drug discovery by enhancing precision, reducing timelines and costs, and enabling AI-driven computer-aided drug design. This review focuses on recent advancements in deep generative models (DGMs) for de novo drug design, exploring diverse algorithms and their profound impact. It critically analyses the challenges that are intricately interwoven into these technologies, proposing strategies to unlock their full potential. It features case studies of both successes and failures in advancing drugs to clinical trials with AI assistance. Last, it outlines a forward-looking plan for optimizing DGMs in de novo drug design, thereby fostering faster and more cost-effective drug development.PMID:38663579 | DOI:10.1016/j.drudis.2024.103992
Source: Drug Discovery Today - Category: Drugs & Pharmacology Authors: Source Type: research