The BioGRID interaction database is an open-access archive of genetic and protein interactions curated from the primary biomedical literature for all major model organisms. As of September 2012, BioGRID contains over 527,569 manually annotated interactions from more than 30 model organisms, including 360,375 non-redundant interactions. BioGRID provides complete curation coverage for budding yeast, fission yeast, and Arabidopsis thaliana. It collaborates with major model organism databases and actively engages with the text-mining community to improve curation workflows. BioGRID data are freely accessible through various formats and tools, including a REST service and Cytoscape plugin. BioGRID curates interactions using model organism-oriented and themed approaches, focusing on areas of biomedical importance. It has extensive annotations for yeast and Arabidopsis, with monthly updates. BioGRID also curates interactions for human biology and disease, including networks related to chromatin modification and the ubiquitin-proteasome system. The database supports over 85 organisms and contains interaction data for more than 30 species. BioGRID is curated by a team of PhD-level curators using a web-based system to prioritize publications and manage curation. Text-mining tools are used to prioritize literature for curation projects, and BioGRID supports the text-mining community with a gold-standard dataset for the BioCreative challenge. BioGRID collaborates with various model organism databases to coordinate curation efforts and improve structured phenotypes across species. BioGRID's architecture includes a cloud-based server system for reliability and accessibility. The BioGRID 3.2 web interface includes a post-translational modification viewer and a dynamic interaction viewer. BioGRID data are accessible through various formats and tools, including XML, tabular, and REST services. BioGRID data are also integrated into other databases and applications, such as ProHits LIMS. BioGRID continues to provide high-quality, extensively annotated protein and genetic interaction data, along with software tools for searching, visualizing, and analyzing interaction datasets. It participates in the IMEx consortium of interaction databases and expands species coverage to facilitate interolog analyses. BioGRID has initiated systematic annotation of interactions for Candida albicans and the human HIV1 interactome. Future developments include more efficient text-mining tools and a cross-species, themed approach to curation to enable new insights into human biology and disease.The BioGRID interaction database is an open-access archive of genetic and protein interactions curated from the primary biomedical literature for all major model organisms. As of September 2012, BioGRID contains over 527,569 manually annotated interactions from more than 30 model organisms, including 360,375 non-redundant interactions. BioGRID provides complete curation coverage for budding yeast, fission yeast, and Arabidopsis thaliana. It collaborates with major model organism databases and actively engages with the text-mining community to improve curation workflows. BioGRID data are freely accessible through various formats and tools, including a REST service and Cytoscape plugin. BioGRID curates interactions using model organism-oriented and themed approaches, focusing on areas of biomedical importance. It has extensive annotations for yeast and Arabidopsis, with monthly updates. BioGRID also curates interactions for human biology and disease, including networks related to chromatin modification and the ubiquitin-proteasome system. The database supports over 85 organisms and contains interaction data for more than 30 species. BioGRID is curated by a team of PhD-level curators using a web-based system to prioritize publications and manage curation. Text-mining tools are used to prioritize literature for curation projects, and BioGRID supports the text-mining community with a gold-standard dataset for the BioCreative challenge. BioGRID collaborates with various model organism databases to coordinate curation efforts and improve structured phenotypes across species. BioGRID's architecture includes a cloud-based server system for reliability and accessibility. The BioGRID 3.2 web interface includes a post-translational modification viewer and a dynamic interaction viewer. BioGRID data are accessible through various formats and tools, including XML, tabular, and REST services. BioGRID data are also integrated into other databases and applications, such as ProHits LIMS. BioGRID continues to provide high-quality, extensively annotated protein and genetic interaction data, along with software tools for searching, visualizing, and analyzing interaction datasets. It participates in the IMEx consortium of interaction databases and expands species coverage to facilitate interolog analyses. BioGRID has initiated systematic annotation of interactions for Candida albicans and the human HIV1 interactome. Future developments include more efficient text-mining tools and a cross-species, themed approach to curation to enable new insights into human biology and disease.