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