Anita Mac Rygaard

This paper develops a pipeline combining yeast screening and AlphaFold3 to accelerate discovery of multi-target antibodies, finding that structural predictions improve binding specificity and solubility.

The paper analyzes 3,766 binders to identify predictive features for experimental success in de novo binder design, showing that AF3-derived metrics improve prediction accuracy.