TastepepAI: An artificial intelligence platform for taste peptide de novo design.

ABSTRACT: Taste peptides have emerged as promising natural flavoring agents attributed to their unique organoleptic properties, high safety profile, and potential health benefits. However, the de novo identification of taste peptides derived from animal, plant, or microbial sources remains a time-consuming and resource-intensive process, significantly impeding their widespread application in the food industry. In this work, we present TastePepAI, a comprehensive artificial intelligence framework for customized taste peptide design and safety assessment. As the key element of this framework, a loss-supervised adaptive variational autoencoder (LA-VAE) is implemented to efficiently optimize the latent representation of sequences during training and facilitate the generation of target peptides with desi

SUBMITTER: Yue J 

PROVIDER: S-EPMC12543283 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature