2010, Vol. 38, Database issue | B. Aranda, P. Achuthan, Y. Alam-Faruque, I. Armean, A. Bridge, C. Derow, M. Feuermann, A. T. Ghanbarian, S. Kerrien, J. Khadake, J. Kerssemakers, C. Leroy, M. Menden, M. Michaut, L. Montecchi-Palazzi, S. N. Neuhauser, S. Orchard, V. Perreau, B. Roechert, K. van Eijk and H. Hermjakob
IntAct is an open-source, open-data molecular interaction database and toolkit that curates and provides detailed information on protein interactions. As of September 2009, IntAct contains over 200,000 curated binary interaction evidences from scientific publications. The database follows a deep curation model, capturing detailed experimental and biological information, and adheres to the IMEx and MIMEx standards. IntAct uses controlled vocabularies, such as the PSI-MI and Gene Ontology, to describe interactions and interactors. The database supports various data formats, including MITAB 2.6, and offers a user-friendly interface for searching, browsing, and visualizing interaction data. IntAct also provides specialized datasets for specific research areas and collaborates with other databases through the IMEx consortium to avoid redundant curation. Future developments include improvements to the curation tool, dynamic network visualization, and further integration with external tools like Cytoscape.IntAct is an open-source, open-data molecular interaction database and toolkit that curates and provides detailed information on protein interactions. As of September 2009, IntAct contains over 200,000 curated binary interaction evidences from scientific publications. The database follows a deep curation model, capturing detailed experimental and biological information, and adheres to the IMEx and MIMEx standards. IntAct uses controlled vocabularies, such as the PSI-MI and Gene Ontology, to describe interactions and interactors. The database supports various data formats, including MITAB 2.6, and offers a user-friendly interface for searching, browsing, and visualizing interaction data. IntAct also provides specialized datasets for specific research areas and collaborates with other databases through the IMEx consortium to avoid redundant curation. Future developments include improvements to the curation tool, dynamic network visualization, and further integration with external tools like Cytoscape.