Unleashing the power of generative AI in drug discovery
Shri Vile Parle Kelavani Mandal · Federico II University Hospital · +1 more institution
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…
Citation impact
- FWCI
- 48.57
- Percentile
- 100%
- References
- 158
Authors
2Topics & keywords
- Drug discovery
- Timeline
- Computer science
- Drug development
- Drug
- Drug repositioning
- Risk analysis (engineering)
- Data science