AI model predicts peptide bitterness and enables novel flavor design

Researchers paired a protein language model with a neural network to predict peptide bitterness and design new peptide sequences. Human taste testers confirmed the tool's predictions for twenty-five of thirty-one synthesized peptides. The method helps food chemists identify and control unwanted bitter flavors in plant-based protein products.

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