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.

PMID: 35552640
Funding: - National Natural Science Foundation of China: 31571782, 31771975, 32172196 - NSF: 2107619 - Natural Science Foundation of Chongqing: CSTC2019JCYJ-MSXMX0527