TastePeptides-Meta: A One-Stop Platform for Taste Peptides and Their Structural Derivatives, Including Taste Properties, Interactions, and Prediction Models

Taste peptides have nutritional and sensory properties, and their structural derivatives show unique taste modulation effects. The increasing number of taste peptide candidates requires a fast and accurate screening methodology using advanced detection tools. Notably, existing platforms lack integrated bioinformatics solutions to provide accurate retrieval and prediction capabilities. In response to this need, TastePeptides-Meta is proposed, comprising 2,926 peptides entries, 975 peptide structural derivatives, and 954 synergistic (enhancing) data from 282, 109, and 103 peer-reviewed studies, respectively. It was equipped with corresponding machine learning-driven prediction modules and domain-specific analytical toolkits. As an online interactive platform, TastePeptides-Meta provides multiple interfaces that allow searching, downloading and predicting taste peptides. We believe that the public availability of TastePeptides-Meta and its implementation of standardized data schemas will accelerate mechanistic investigations in the field of taste peptides and the development of data-driven, interpretable models for predicting and exploring taste mechanisms. The TastePeptides-Meta platform can be accessed online at http://www.tastepeptides-meta.com/.

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Publication Details

Journal
Journal of Agricultural and Food Chemistry
Published
2025-04-02
DOI
https://doi.org/10.1021/acs.jafc.4c12922
Citations
9
Primary Topic
Biochemical Analysis and Sensing Techniques
Type
article
Field-Weighted Citation Impact
10.08

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article

TastePeptides-Meta: A One-Stop Platform for Taste Peptides and Their Structural Derivatives, Including Taste Properties, Interactions, and Prediction Models

Zhiyong Cui, Shengnan Wang, Yanyang Yu, Danni Zhang et al.
9 citations
Journal of Agricultural and Food Chemistry
Biochemical Analysis and Sensing Techniques
10.08
article

TastePeptides-Meta: A One-Stop Platform for Taste Peptides and Their Structural Derivatives, Including Taste Properties, Interactions, and Prediction Models

Zhiyong Cui, Shengnan Wang, Yanyang Yu, Danni Zhang, Imre Blank, Zhiwei Zhang, Yuan Liu, Wenli Wang, Jiaming Gu, Tianxing Zhou
article en
9 citations

Abstract

Taste peptides have nutritional and sensory properties, and their structural derivatives show unique taste modulation effects. The increasing number of taste peptide candidates requires a fast and accurate screening methodology using advanced detection tools. Notably, existing platforms lack integrated bioinformatics solutions to provide accurate retrieval and prediction capabilities. In response to this need, TastePeptides-Meta is proposed, comprising 2,926 peptides entries, 975 peptide structural derivatives, and 954 synergistic (enhancing) data from 282, 109, and 103 peer-reviewed studies, respectively. It was equipped with corresponding machine learning-driven prediction modules and domain-specific analytical toolkits. As an online interactive platform, TastePeptides-Meta provides multiple interfaces that allow searching, downloading and predicting taste peptides. We believe that the public availability of TastePeptides-Meta and its implementation of standardized data schemas will accelerate mechanistic investigations in the field of taste peptides and the development of data-driven, interpretable models for predicting and exploring taste mechanisms. The TastePeptides-Meta platform can be accessed online at http://www.tastepeptides-meta.com/.

Journal of Agricultural and Food ChemistryVol. 73(16)
Shanghai Jiao Tong University (CN), Ningxia University (CN), Institute of Food Science & Technology (GB), China Agricultural University (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 1%
Biochemical Analysis and Sensing Techniques
10.08
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