The BioGRID interaction database: 2015 update

  • Posted on: 26 March 2015
  • By: fcoldren
TitleThe BioGRID interaction database: 2015 update
Publication TypeJournal Article
Year of Publication2015
AuthorsChatr-Aryamontri A, Breitkreutz B-J, Oughtred R, Boucher L, Heinicke S, Chen D, Stark C, Breitkreutz A, Kolas N, O'Donnell L, Reguly T, Nixon J, Ramage L, Winter A, Sellam A, Chang C, Hirschman J, Theesfeld C, Rust J, Livstone MS, Dolinski K, Tyers M
JournalNucleic Acids Res
Volume43
IssueDatabase issue
PaginationD470-8
Date Published2015 Jan
ISSN1362-4962
Abstract

The Biological General Repository for Interaction Datasets (BioGRID: http://thebiogrid.org) is an open access database that houses genetic and protein interactions curated from the primary biomedical literature for all major model organism species and humans. As of September 2014, the BioGRID contains 749,912 interactions as drawn from 43,149 publications that represent 30 model organisms. This interaction count represents a 50% increase compared to our previous 2013 BioGRID update. BioGRID data are freely distributed through partner model organism databases and meta-databases and are directly downloadable in a variety of formats. In addition to general curation of the published literature for the major model species, BioGRID undertakes themed curation projects in areas of particular relevance for biomedical sciences, such as the ubiquitin-proteasome system and various human disease-associated interaction networks. BioGRID curation is coordinated through an Interaction Management System (IMS) that facilitates the compilation interaction records through structured evidence codes, phenotype ontologies, and gene annotation. The BioGRID architecture has been improved in order to support a broader range of interaction and post-translational modification types, to allow the representation of more complex multi-gene/protein interactions, to account for cellular phenotypes through structured ontologies, to expedite curation through semi-automated text-mining approaches, and to enhance curation quality control.

DOI10.1093/nar/gku1204
Alternate JournalNucleic Acids Res.
PubMed ID25428363
Grant ListBB/F010486/1 / / Biotechnology and Biological Sciences Research Council / United Kingdom
R01 OD010929 / OD / NIH HHS / United States
R01OD010929 / OD / NIH HHS / United States
R24OD011194 / OD / NIH HHS / United States
U54HL117798 / HL / NHLBI NIH HHS / United States