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UMPred-FRL: A New Approach for Accurate Prediction of Umami Peptides Using Feature Representation Learning
Umami ingredients have been identified as important factors in food seasoning and production. Traditional experimental methods for characterizing peptides exhibiting umami sensory properties (umami peptides) are time-consuming, laborious, and costly. As a result, it is preferable to develop computat...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8658322/ https://www.ncbi.nlm.nih.gov/pubmed/34884927 http://dx.doi.org/10.3390/ijms222313124 |