Kerr Ding

The paper introduces SEMPER, a multimodal model that aligns protein language models with brain cell-type-specific interactomes to predict protein functions and drug targets.

SynFit improves protein fitness prediction by learning shared and property-specific sequence representations, outperforming existing methods in multi-objective optimization.

This paper introduces DETANGO, a deep learning framework that disentangles mutation effects on protein stability and function, identifying stable-but-inactive variants and functionally critical residues.

This paper introduces GraNA, a deep learning framework for supervised biological network alignment that improves functional annotation transfer between species.