2026
Flexible Kernels for Protein Property Prediction
Martin Jankowiak, Yerdos Ordabayev, Rudraksh Tuwani, Henry Ward, Hunter Nisonoff, James McFarland +1
ICML 2026poster
Despite its importance to applications in protein design, predicting protein properties like binding affinity and thermostability from sparse experimental data remains a significant challenge. Accordingly, we introduce a class of sequence kernels that exploit evolutionary substitution matrices as we…