Researchers developed an AI model to predict how proteins behave by reading and learning patterns from protein pairs, targeting better representation of protein–protein interactions. The platform is intended to accelerate discovery of therapeutic candidates and improve mechanistic understanding in diseases including cancer, with the core claim that improved interaction prediction can shorten downstream experimental iteration cycles.