Human Dephosphorylation Database (DEPOD)

Human Dephosphorylation Database (DEPOD) curates a comprehensive, manually curated repository of human phosphatases, their protein and non-protein substrates, specific dephosphorylation sites, and linked annotations to support analysis of phosphatase–kinase signaling and disease associations.


Key Features:

  • Curated Data: Contains information on 254 human phosphatases, 336 protein substrates, 83 non-protein substrates, and 1215 manually curated phosphatase–substrate relationships.
  • Dephosphorylation Site Information: Provides specific dephosphorylation site annotations for substrates.
  • Pathway Integration: Links phosphatases to their associated signaling pathways.
  • Extensive Database Linkages: Integrates annotations from 69 open-access databases, including disease associations, phosphorylating kinases, protein interactions, and genome browser links.
  • Visualization Tools: Provides visualization of protein interactions, protein structures, phosphorylation networks, evolutionary conservation, and short linear motif identification.

Scientific Applications:

  • Phosphatase–Kinase Network Analysis: Supports analysis of phosphatase–kinase networks and regulatory mechanisms in cellular signaling.
  • Disease Association Studies: Enables investigation of disease associations linked to dysregulated phosphorylation and identification of candidate therapeutic targets.

Methodology:

Manual curation of literature-derived phosphatase–substrate relationships and integration of annotations from 69 open-access databases, with provision of visualization for interactions, structures, phosphorylation networks, evolutionary conservation, and short linear motif identification.

Topics

Details

Tool Type:
web application
Added:
1/14/2020
Last Updated:
12/20/2020

Operations

Publications

Damle NP, Köhn M. The human DEPhOsphorylation Database DEPOD: 2019 update. Database. 2019;2019. doi:10.1093/database/baz133. PMID:31836896. PMCID:PMC6911163.

PMID: 31836896
PMCID: PMC6911163
Funding: - German Science Foundation: 390939984 and BIOSS-EXC-294 - Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) im Rahmen der Exzellenzstrategie des Bundes und der Länder EXC-2189 Projektnummer: 390939984