DIMERBOW

DIMERBOW catalogs and visualizes potential dimeric interfaces of G protein-coupled receptors (GPCRs) identified from crystallographic contacts in Protein Data Bank (PDB) structures to support structural modeling of GPCR oligomers.


Key Features:

  • PDB-derived dataset: Aggregates GPCR structures from the Protein Data Bank (PDB) as the source of structural data.
  • Crystallographic interface annotation: Identifies and records crystallographic interfaces in solved structures that are indicative of potential physiological GPCR interactions.
  • Comprehensive repertoire of dimers: Enumerates possible GPCR dimer pairs and quaternary arrangements derivable from available solved structures.
  • Structural templates for modeling: Provides structural examples suitable for use as templates when modeling GPCR homomers and higher-order oligomers.

Scientific Applications:

  • GPCR oligomer modeling: Supports selection of structural templates for homomer and heteromer modeling of GPCRs.
  • Quaternary structure analysis: Aids investigation of GPCR quaternary arrangements and interface composition derived from crystallographic contacts.
  • Pharmacological hypothesis generation: Informs studies on how GPCR dimerization and oligomerization may influence receptor function and drug targeting.

Methodology:

Extraction and curation of crystallographic interfaces from GPCR entries in the Protein Data Bank (PDB) to identify and catalog potential dimeric contacts observable in solved structures.

Topics

Collections

Details

Tool Type:
web application
Added:
1/14/2020
Last Updated:
2/14/2024

Operations

Data Inputs & Outputs

Publications

García-Recio A, Navarro G, Franco R, Olivella M, Guixà-González R, Cordomí A. DIMERBOW: exploring possible GPCR dimer interfaces. Unknown Journal. 2019. doi:10.1101/836213.

García-Recio A, Navarro G, Franco R, Olivella M, Guixà-González R, Cordomí A. DIMERBOW: exploring possible GPCR dimer interfaces. Bioinformatics. 2020;36(10):3271-3272. doi:10.1093/bioinformatics/btaa117. PMID:32096817.

PMID: 32096817
Funding: - Innovación y Universidades: SAF2015-74627-JIN, SAF2016-77830-R

Documentation