The IntAct molecular interaction database in 2012

By Samuel Kerrien, Bruno Aranda, L. Breuza, Alan J. Bridge, Fiona Broackes-Carter, Carol Chen, M. Duesbury, M. Dumousseau, Marc Feuermann, U. Hinz and 12 more. 2011

529 citations recorded by the source corpus.

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.

Subfields: Management of Technology and Innovation

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Citations in the corpus

Quantitative missense variant effect prediction using large-scale mutagenesis data (2017, neutral): “However, BRCA1 has many functions and interacts with >25 other proteins (Deng and Brodie, 2000; Kerrien et al., 2012).”
The MIntAct project—IntAct as a common curation platform for 11 molecular interaction databases (2013, methodology): “The IntAct molecular interaction database has existed since 2002 to serve richly curated molecular interaction data provided in community accepted standard formats to a broad user community (2).”
InnateDB: systems biology of innate immunity and beyond—recent updates and continuing curation (2012, methodology): “Because IMEx curation requires more annotation detail than the MIMIx level (9) currently supported by InnateDB’s sub-mission system, InnateDB curators are submitting these IMEx interactions through the IntAct interaction database (13).”
Gene Ontology annotation of sequence-specific DNA binding transcription factors: setting the stage for a large-scale curation effort (2013, background): “The proper documentation of experimental evidence for each TF annotation will enable us to work toward submitting annotated data to the IntAct data-base (31).”
dbNSFP v2.0: A Database of Human Non-synonymous SNVs and Their Functional Predictions and Annotations (2013, methodology): “To facilitate gene-based SNV prioritization, we have strengthened the functional annotation of genes and added the following information: gene IDs from multiple databases (HGNC (Gray et al. 2013), Uniprot, Entrez Gene (Maglott et al. 2011), CCDS, Refseq (Pruitt et al. 2012), UCSC, and MIM (Amberger ”
Structure and dynamics of molecular networks: A novel paradigm of drug discovery: A comprehensive review (2012, background): “…essential proteins) http://hub.iis.sinica.edu.tw/Hubba Lin et al., 2008 IntAct Curated protein–protein interaction data http://www.ebi.ac.uk/intact/main.xhtml Kerrien et al., 2012 IntNetDB Human protein–protein interaction data http://hanlab.genetics.ac.cn/sys Xia et al., 2006 IRView Protein…”
Multichannel Convolutional Neural Network for Biological Relation Extraction (2016, methodology): “According to the suggestion that the best window size combination is usually close to each other by Zhang and Wallace [35], we set the windows size h as [5, 6, 7, 8] in DDI task and [3, 4, 5, 6] in PPI task.”