ArticleJournal of agricultural and food chemistry2025
Exploring the Molecular Space of Bitter Peptides via Sensory, Receptor, and Sequence Data.
Article in Journal of agricultural and food chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Research Progress on Intelligent Prediction, Debittering Technologies, and Multi-Dimensional Evaluation for Bitter Peptides.Foods (Basel, Switzerland) · 2026Review
- De novo design and experimental characterization of bitter peptides.NPJ science of food · 2026Article
- Bitter taste receptors.Chemical senses · 2025Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study explores the chemical space of bitter peptides through a curated data set, named Bitter Peptide Space (BPS)-1000, which includes experimentally validated bitter and nonbitter peptides. The data set integrates sensory data, bitter taste thresholds (BTTs), and bitter taste receptor (TAS2R) activity when available. The inclusion of modified peptides further expands the data set's diversity. The HELM (Hierarchical Editing Language for Macromolecules) and BILN (Boehringer Ingelheim Line Notation) notations have been generated to provide a unique representation for both canonical and modified peptides. Through sequence-based and structure-based analyses, the study highlights the role of hydrophobicity, molecular size, and specific amino acid composition in the bitter and nonbitter sets in canonical and modified peptides, suggesting differences that could contribute to bitterness and enhancing the understanding of bitter peptide characteristics.
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Registered trials
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