Closing the Loop Between Structural Biology & AI: Improving Nanobody Structure Prediction with Targeted Experimental Data

• Identifying low-confidence regions in AI-driven protein structure prediction models for nanobodies through computational analysis
• Designing custom structural biology experiments to generate targeted training data that improves model accuracy
• Showcasing how close collaboration between wet lab structural biology and AI teams can iteratively refine predictive models for biologics discovery

Speakers:

Ryan Casner

Structural Biology & Computational Design Scientist

Sanofi