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Nucleic Acids Research 2006 34(Database Issue):D689-D691; doi:10.1093/nar/gkj092
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Nucleic Acids Research, 2006, Vol. 34, Database issue D689-D691
© The Author 2006. Published by Oxford University Press. All rights reserved
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions{at}oxfordjournals.org

Article

BioModels Database: a free, centralized database of curated, published, quantitative kinetic models of biochemical and cellular systems

Nicolas Le Novère*, Benjamin Bornstein1, Alexander Broicher, Mélanie Courtot, Marco Donizelli, Harish Dharuri2, Lu Li, Herbert Sauro2, Maria Schilstra3, Bruce Shapiro1, Jacky L. Snoep4 and Michael Hucka5

European Bioinformatics Institute EMBL Wellcome-Trust Genome Campus, Hinxton, CB10 1SD, UK 1Jet Propulsion Laboratory, California Institute of Technology Pasadena, CA 91109, USA 2Keck Graduate Institute 535 Watson Drive, Claremont, CA 91711, USA 3STRI, University of Hertfordshire Hatfield, Herts AL10 9AB, UK 4Department of Biochemistry, Stellenbosch University Private Bag X1, Matieland 7602, South Africa 5Control and Dynamical Systems, California Institute of Technology Pasadena, CA 91125, USA

*To whom correspondence should be addressed. Tel: +44 1223 494521; Fax: +44 1223 494468; Email: lenov{at}ebi.ac.uk

Received July 29, 2005. Revised October 4, 2005. Accepted October 16, 2005.

BioModels Database (http://www.ebi.ac.uk/biomodels/), part of the international initiative BioModels.net, provides access to published, peer-reviewed, quantitative models of biochemical and cellular systems. Each model is carefully curated to verify that it corresponds to the reference publication and gives the proper numerical results. Curators also annotate the components of the models with terms from controlled vocabularies and links to other relevant data resources. This allows the users to search accurately for the models they need. The models can currently be retrieved in the SBML format, and import/export facilities are being developed to extend the spectrum of formats supported by the resource.


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