Deep Diving into the Potential of Generative AI in Structure-Based Drug Design
Time: 12:35 pm
day: Pre-Conference Workshop Day
Details:
Looking to explore the exciting intersection of artificial intelligence and structure-based drug design? This session deep dives into exploring the use of generative AI in designing new protein structures to advance drug design and discovery. Whether
you’re new to the concept or looking to deepen your understanding, this workshop will provide an in-depth look at the current challenges and groundbreaking promise of generative AI for SBDD.
Join leading experts in AI, structural biology, and drug design sharing insights on both theoretical and practical perspectives on how generative AI is reshaping the future of drug discovery.
Highlights include:
- Learn how AI is being used to design de novo protein structures and how it has the potential to unlock novel drug targets and therapeutic strategies
- Explore the limitations of current AI models like AlphaFold 2, and discuss strategies for enhancing AI predictions to address complex protein structures that remain unsolved
- Delve into how generative AI can be integrated with experimental validation cycles to ensure the accuracy and reliability of AI-generated structures. Understand how this integration is crucial for improving drug hit rates and therapeutic development
- Gain insights into where generative AI is most effective in protein design and where further development is needed, especially in areas like protein flexibility, multiprotein complexes, and the prediction of small molecule interactions
Whether you’re looking to get up to speed on generative AI in drug discovery or refine your understanding of this rapidly advancing technology, this workshop will equip you with the tools and knowledge to stay at the forefront of structural biology and AI integration.
