Resolving context-specific protein-protein interactomes for biological discovery and therapeutic target prioritisation
ProtScape, a multiscale graph-learning framework integrating global protein interactions, cell-type gene expression and protein language models to learn context-specific representations and infer interactomes across more than 200 cell types, substantially outperforms existing approaches in interaction reconstruction.