Literature DB >> 14681455

IntAct: an open source molecular interaction database.

Henning Hermjakob1, Luisa Montecchi-Palazzi, Chris Lewington, Sugath Mudali, Samuel Kerrien, Sandra Orchard, Martin Vingron, Bernd Roechert, Peter Roepstorff, Alfonso Valencia, Hanah Margalit, John Armstrong, Amos Bairoch, Gianni Cesareni, David Sherman, Rolf Apweiler.   

Abstract

IntAct provides an open source database and toolkit for the storage, presentation and analysis of protein interactions. The web interface provides both textual and graphical representations of protein interactions, and allows exploring interaction networks in the context of the GO annotations of the interacting proteins. A web service allows direct computational access to retrieve interaction networks in XML format. IntAct currently contains approximately 2200 binary and complex interactions imported from the literature and curated in collaboration with the Swiss-Prot team, making intensive use of controlled vocabularies to ensure data consistency. All IntAct software, data and controlled vocabularies are available at http://www.ebi.ac.uk/intact.

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Year:  2004        PMID: 14681455      PMCID: PMC308786          DOI: 10.1093/nar/gkh052

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  17 in total

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Authors:  S Miyazaki; H Sugawara; T Gojobori; Y Tateno
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

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Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

3.  STRING: a database of predicted functional associations between proteins.

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Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

4.  GenBank.

Authors:  Dennis A Benson; Ilene Karsch-Mizrachi; David J Lipman; James Ostell; David L Wheeler
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

5.  BIND: the Biomolecular Interaction Network Database.

Authors:  Gary D Bader; Doron Betel; Christopher W V Hogue
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

6.  Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry.

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7.  DIP, the Database of Interacting Proteins: a research tool for studying cellular networks of protein interactions.

Authors:  Ioannis Xenarios; Lukasz Salwínski; Xiaoqun Joyce Duan; Patrick Higney; Sul-Min Kim; David Eisenberg
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

8.  MIPS: a database for genomes and protein sequences.

Authors:  H W Mewes; D Frishman; U Güldener; G Mannhaupt; K Mayer; M Mokrejs; B Morgenstern; M Münsterkötter; S Rudd; B Weil
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

Review 9.  MINT: a Molecular INTeraction database.

Authors:  Andreas Zanzoni; Luisa Montecchi-Palazzi; Michele Quondam; Gabriele Ausiello; Manuela Helmer-Citterich; Gianni Cesareni
Journal:  FEBS Lett       Date:  2002-02-20       Impact factor: 4.124

10.  Saccharomyces Genome Database (SGD) provides biochemical and structural information for budding yeast proteins.

Authors:  Shuai Weng; Qing Dong; Rama Balakrishnan; Karen Christie; Maria Costanzo; Kara Dolinski; Selina S Dwight; Stacia Engel; Dianna G Fisk; Eurie Hong; Laurie Issel-Tarver; Anand Sethuraman; Chandra Theesfeld; Rey Andrada; Gail Binkley; Christopher Lane; Mark Schroeder; David Botstein; J Michael Cherry
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

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Journal:  Plant Physiol       Date:  2010-06-07       Impact factor: 8.340

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Journal:  Nat Protoc       Date:  2015-05-07       Impact factor: 13.491

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Journal:  Invert Neurosci       Date:  2005-10-24

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Journal:  J Neural Transm (Vienna)       Date:  2006-07-13       Impact factor: 3.575

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8.  Cell Type-Specific Intralocus Interactions Reveal Oligodendrocyte Mechanisms in MS.

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9.  Chromosome 17 Missing Proteins: Recent Progress and Future Directions as Part of the neXt-MP50 Challenge.

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10.  The potential of text mining in data integration and network biology for plant research: a case study on Arabidopsis.

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