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AI Decodes the Taste of Bitterness

Researchers combine protein language models and neural networks to accurately predict and design bitter-tasting peptides from scratch.

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Bitter peptides can affect the taste of fermented foods and high-protein products. An AI process has now produced new peptide sequences and predicted their bitterness mathematically. In the sensory evaluation, 25 out of 31 evaluable predictions were confirmed, which opens up a way to more targeted taste control, but initially only for tested peptides under laboratory conditions. Freising (Germany). Bitter peptides arise in enzymatic [...] The ar…

In the production of fermented products such as kefir, parmesan or mountain cheese, but also in the production of protein powders, bitter-tasting peptides can arise, which affect the taste and thus the acceptance of the products. A research team led by the Leibniz Institute...

Plant protein sources often fail in acceptance due to an unwanted by-taste that arises during processing. A new method now uses artificial intelligence to systematically decipher the molecular structures of the unpleasant taste. read more on t3n.de

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Neuroscience News broke the news in The Woodlands, United States on Tuesday, September 22, 2026.
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