Researchers at the Technical University of Munich developed an AI method combining a protein language model with a Graph Convolutional Network to predict bitterness in peptides formed during food production. The model successfully predicted the taste of newly designed peptides, with 25 of 31 tested candidates correctly classified, enabling better control of flavor in fermented foods and plant-based proteins.