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Database Commons - Complex Portal

Complex Portal

Citations: 0

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Short name Complex Portal
Full name
Description The Complex Portal is a manually curated,encyclopaedic resource of macromolecular complexes from a number of key model organisms.
URL http://www.ebi.ac.uk/intact/complex/
Year founded
Last update & version NA    v1.0
Availability Free to all users
University/Institution hosted European Bioinformatics Institute
Address Hinxton, Cambridge CB10 1SD, UK
City Cambridge
Province/State
Country/Region United Kingdom
Contact name Birgit H.M. Meldal
Contact email bmeldal@ebi.ac.uk
Data type(s)
Major organism(s)
Keyword(s)
  • macromolecular complex
Publication(s)
  • The complex portal--an encyclopaedia of macromolecular complexes. [PMID: 25313161]

    Birgit H M Meldal, Oscar Forner-Martinez, Maria C Costanzo, Jose Dana, Janos Demeter, Marine Dumousseau, Selina S Dwight, Anna Gaulton, Luana Licata, Anna N Melidoni, Sylvie Ricard-Blum, Bernd Roechert, Marek S Skyzypek, Manu Tiwari, Sameer Velankar, Edith D Wong, Henning Hermjakob, Sandra Orchard
    Nucleic acids research 2015:43(Database issue)
    Citation (to be updated)

    Abstract: The IntAct molecular interaction database has created a new, free, open-source, manually curated resource, the Complex Portal (www.ebi.ac.uk/intact/complex), through which protein complexes from major model organisms are being collated and made available for search, viewing and download. It has been built in close collaboration with other bioinformatics services and populated with data from ChEMBL, MatrixDB, PDBe, Reactome and UniProtKB. Each entry contains information about the participating molecules (including small molecules and nucleic acids), their stoichiometry, topology and structural assembly. Complexes are annotated with details about their function, properties and complex-specific Gene Ontology (GO) terms. Consistent nomenclature is used throughout the resource with systematic names, recommended names and a list of synonyms all provided. The use of the Evidence Code Ontology allows us to indicate for which entries direct experimental evidence is available or if the complex has been inferred based on homology or orthology. The data are searchable using standard identifiers, such as UniProt, ChEBI and GO IDs, protein, gene and complex names or synonyms. This reference resource will be maintained and grow to encompass an increasing number of organisms. Input from groups and individuals with specific areas of expertise is welcome. © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Tags

Interaction and Network Protein
macromolecular complex

Record metadata

  • Created on: 2015-06-20
  • Curated by:
    • Mengwei Li [2016-03-31]
    • Mengwei Li [2016-02-21]
    • Mengwei Li [2015-12-04]
    • Mengwei Li [2015-06-27]
Stats