DFBP
DFBP provides a curated database of 6,276 food-derived bioactive peptides (FBPs) across 31 distinct types to support systematic analysis of sequence-structure-activity relationships and discovery of peptide candidates for therapeutic and functional applications.
Key Features:
- Comprehensive Data Collection: Contains 6,276 peptide entries categorized into 31 distinct types sourced from various food origins.
- Sequence-Structure-Activity Relationships: Enables systematic study of sequence-structure-activity relationships within FBPs.
- Analysis Tools: Includes a suite of analytical tools for function discovery, repurposing, traceability, and exploration of multifunctional bioactivities.
- Physicochemical Property Assessment: Provides assessment of peptides' physicochemical properties to inform functional and therapeutic evaluation.
- Drug Discovery Application: Has been applied to identify novel FBP candidates with potential therapeutic relevance for cardiovascular diseases.
Scientific Applications:
- Pharmaceuticals and Nutraceuticals: Supports elucidation of FBP bioactivity mechanisms to advance pharmaceutical and nutraceutical development.
- Public Health and Ecology: Informs use of natural peptide-based compounds with potential public health and ecological benefits.
- Peptide-Based Innovations: Aids design, discovery, and repurposing of peptides for applications including drugs, vaccines, materials, and food ingredients.
Methodology:
Compilation of a large dataset of FBPs and development of analytical tools to explore their multifaceted bioactivities; data mining techniques are employed to uncover new potential uses, particularly for cardiovascular health.
Topics
Details
- License:
- Other
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 8/19/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Qin D, Bo W, Zheng X, Hao Y, Li B, Zheng J, Liang G. DFBP: a comprehensive database of food-derived bioactive peptides for peptidomics research. Bioinformatics. 2022;38(12):3275-3280. doi:10.1093/bioinformatics/btac323. PMID:35552640.