The BioGRID interaction database is an open-access resource that curates genetic and protein interactions from primary biomedical literature across major model organisms and humans. As of September 2014, it contains 749,912 interactions from 43,149 publications, representing a 50% increase over the 2013 update. BioGRID data is freely available through partner databases and downloadable in various formats. The database supports a wide range of interaction types and includes curated data on protein post-translational modifications. BioGRID uses an Interaction Management System (IMS) for curation, which facilitates structured evidence codes, phenotype ontologies, and gene annotations. The database architecture has been improved to support complex interactions, post-translational modifications, and cellular phenotypes. BioGRID also undertakes themed curation projects, such as the ubiquitin-proteasome system and the arachidonic acid pathway, to enhance biomedical research. The database has been updated monthly and is accessible through a web portal and partner databases. BioGRID's data includes 471,525 protein interactions and 278,387 genetic interactions. The database has been used to support research in various areas, including disease-related interactions and network analysis. BioGRID also provides a REST service for data access and has implemented text-mining technologies to improve curation efficiency. The database continues to grow and is expected to support future research in biological interactions and disease mechanisms.The BioGRID interaction database is an open-access resource that curates genetic and protein interactions from primary biomedical literature across major model organisms and humans. As of September 2014, it contains 749,912 interactions from 43,149 publications, representing a 50% increase over the 2013 update. BioGRID data is freely available through partner databases and downloadable in various formats. The database supports a wide range of interaction types and includes curated data on protein post-translational modifications. BioGRID uses an Interaction Management System (IMS) for curation, which facilitates structured evidence codes, phenotype ontologies, and gene annotations. The database architecture has been improved to support complex interactions, post-translational modifications, and cellular phenotypes. BioGRID also undertakes themed curation projects, such as the ubiquitin-proteasome system and the arachidonic acid pathway, to enhance biomedical research. The database has been updated monthly and is accessible through a web portal and partner databases. BioGRID's data includes 471,525 protein interactions and 278,387 genetic interactions. The database has been used to support research in various areas, including disease-related interactions and network analysis. BioGRID also provides a REST service for data access and has implemented text-mining technologies to improve curation efficiency. The database continues to grow and is expected to support future research in biological interactions and disease mechanisms.