4.8 Article

The BioGRID interaction database: 2017 update

Journal

NUCLEIC ACIDS RESEARCH
Volume 45, Issue D1, Pages D369-D379

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkw1102

Keywords

-

Funding

  1. National Institutes of Health Office of Research Infrastructure Programs [R01OD010929, R24OD011194]
  2. National Institutes of Health National Heart, Lung and Blood Institute [U54HL117798]
  3. Genome Canada Largescale Applied Proteomics/Ontario Genomics Institute [OGI-069]
  4. Genome Quebec International Recruitment Award
  5. Canada Research Chair in Systems and Synthetic Biology
  6. National Institute of Health [R01OD010929]
  7. Biotechnology and Biological Sciences Research Council [BB/F010486/1] Funding Source: researchfish
  8. BBSRC [BB/F010486/1] Funding Source: UKRI

Ask authors/readers for more resources

The Biological General Repository for Interaction Datasets (BioGRID: https://thebiogrid.org) is an open access database dedicated to the annotation and archival of protein, genetic and chemical interactions for all major model organism species and humans. As of September 2016 (build 3.4.140), the BioGRID contains 1 072 173 genetic and protein interactions, and 38 559 post-translational modifications, as manually annotated from 48 114 publications. This dataset represents interaction records for 66 model organisms and represents a 30% increase compared to the previous 2015 BioGRID update. BioGRID curates the biomedical literature for major model organism species, including humans, with a recent emphasis on central biological processes and specific human diseases. To facilitate network-based approaches to drug discovery, BioGRID now incorporates 27 501 chemical-protein interactions for human drug targets, as drawn from the DrugBank database. A new dynamic interaction network viewer allows the easy navigation and filtering of all genetic and protein interaction data, as well as for bioactive compounds and their established targets. BioGRID data are directly downloadable without restriction in a variety of standardized formats and are freely distributed through partner model organism databases and meta-databases.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available