The IntAct molecular interaction database in 2012
Samuel Kerrien,Bruno Aranda,Lionel Breuza,Alan Bridge,Fiona Broackes-Carter,Carol Chen,Margaret Duesbury,Marine Dumousseau,M Feuermann,Ursula Hinz,Christine Jandrasits,Rafael C. Jimenez,Jyoti Khadake,Usha Mahadevan,Patrick Masson,Ivo Pedruzzi,Eric Pfeiffenberger,Pablo Porras,Arathi Raghunath,Bernd Roechert,Sandra Orchard,Henning Hermjakob +21 more
TL;DR: Two levels of curation are now available within the IntAct database, with both IMEx-level annotation and less detailed MIMIx-compatible entries currently supported.
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Abstract: IntAct is an open-source, open data molecular interaction database populated by data either curated from the literature or from direct data depositions. Two levels of curation are now available within the database, with both IMEx-level annotation and less detailed MIMIx-compatible entries currently supported. As from September 2011, IntAct contains approximately 275,000 curated binary interaction evidences from over 5000 publications. The IntAct website has been improved to enhance the search process and in particular the graphical display of the results. New data download formats are also available, which will facilitate the inclusion of IntAct's data in the Semantic Web. IntAct is an active contributor to the IMEx consortium (http://www.imexconsortium.org). IntAct source code and data are freely available at http://www.ebi.ac.uk/intact.
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STRING v10: protein–protein interaction networks, integrated over the tree of life
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TL;DR: H hierarchical and self-consistent orthology annotations are introduced for all interacting proteins, grouping the proteins into families at various levels of phylogenetic resolution in the STRING database.
STRING v9.1: protein-protein interaction networks, with increased coverage and integration
Andrea Franceschini,Damian Szklarczyk,Sune Frankild,Michael Kuhn,Milan Simonovic,Alexander Roth,Jianyi Lin,Pablo Minguez,Peer Bork,Christian von Mering,Lars Juhl Jensen +10 more
TL;DR: The update to version 9.1 of STRING is described, introducing several improvements, including extending the automated mining of scientific texts for interaction information, to now also include full-text articles, and providing users with statistical information on any functional enrichment observed in their networks.
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