Context-informed subgraph foundation models enable interpretable protein-function prediction (opens in new tab)

A context-informed subgraph foundation model predicts protein functions by mining relational paths in a knowledge graph. This approach enables accurate annotation of uncharacterized and low-homology proteins, provides interpretable functional evidence, and complements sequence-based methods, advancing protein-function discovery beyond evolutionary similarity.