14 December 2016 | Andrew Chatr-aryamontri, Rose Oughtred, Lorrie Boucher, Jennifer Rust, Christie Chang, Nadine K. Kolas, Lara O'Donnell, Sara Oster, Chandra Theesfeld, Adnane Sellam, Chris Stark, Bobby-Joe Breitkreutz, Kara Dolinski, Mike Tyers
The Biological General Repository for Interaction Datasets (BioGRID) is an open-access database that curates and archives protein, genetic, and chemical interactions for major model organisms and humans. As of September 2016, BioGRID contains over 1 million protein and genetic interactions, as well as 38,559 post-translational modifications, derived from 48,114 publications. The database has expanded its coverage to include chemical interactions, particularly for drug targets, and has introduced a new dynamic interaction network viewer for easy navigation and filtering of data. BioGRID continues to focus on manual curation of experimentally validated interactions, supported by text-mining approaches, and collaborates with various databases and consortiums to enhance its content and functionality. The database is widely used, with over 100,000 queries per month and extensive dissemination through partner databases. Future developments include further integration of text-mining tools and improvements in search and visualization tools.The Biological General Repository for Interaction Datasets (BioGRID) is an open-access database that curates and archives protein, genetic, and chemical interactions for major model organisms and humans. As of September 2016, BioGRID contains over 1 million protein and genetic interactions, as well as 38,559 post-translational modifications, derived from 48,114 publications. The database has expanded its coverage to include chemical interactions, particularly for drug targets, and has introduced a new dynamic interaction network viewer for easy navigation and filtering of data. BioGRID continues to focus on manual curation of experimentally validated interactions, supported by text-mining approaches, and collaborates with various databases and consortiums to enhance its content and functionality. The database is widely used, with over 100,000 queries per month and extensive dissemination through partner databases. Future developments include further integration of text-mining tools and improvements in search and visualization tools.