Unleashing the power of generative AI in drug discovery.

Journal: Drug discovery today
Published Date:

Abstract

Artificial 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.

Authors

  • Amit Gangwal
    Department of Natural Product Chemistry, Shri Vile Parle Kelavani Mandal's Institute of Pharmacy, Dhule 424001, Maharashtra, India.
  • Antonio Lavecchia
    Department of Pharmacy, Drug Discovery Laboratory, University of Napoli 'Federico II', via D. Montesano 49, I-80131 Napoli, Italy. Electronic address: antonio.lavecchia@unina.it.