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The SABIO-RK (System for the Analysis of Biochemical Pathways - Reaction Kinetics) is a
web-based application based on the SABIO relational database that contains information about biochemical reactions,
their kinetic equations with their parameters, and the experimental conditions under which these parameters were measured.
It aims to support modellers in the setting-up of models of biochemical networks, but it is also useful for experimentalists
or researchers with interest in biochemical reactions and their kinetics. Information about reactions and their kinetics can
be exported in SBML (Systems Biology Mark-Up Language and partially by the German BMBF (Bundesministerium f�r Bildung und Forschung or BMBF).
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Citing SABIO-RK TOP
Please use the following reference to cite SABIO-RK: | |||||
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Data Provenance TOP
There are two main sources for the data contained in SABIO. Most of the reactions, their association with pathways
and their enzymatic classification, is extracted from the KEGG (KEGG: Kyoto Encyclopedia of Genes and Genomes) Current release: 2.0 (Tutorial for new SabioRK Interface ) Old release: 1.0 (Tutorial for old SabioRK Interface ) Main Features:
Web Services TOP We have new web services available. Details can be found in the documentation downloadable here. Download pdf You can also access The SABIO-RK Database programmatically using web services. For details and instructions, please visit the web service home Terms and Conditions TOP The terms and conditions for use of SABIO-RK can be found here. Contact TOP Scientific Databases and Visualization Group
at the HITS in Heidelberg, Germany. Email: sabiork at eml-r.org We welcome any suggestions and contributions to the database. Publications TOP You can find more information on SABIO-RK in the following publications: SABIO-RK: a database for biochemical reactions and their kinetics Isabel Rojas, Martin Golebiewski, Renate Kania, Olga Krebs, Saqib Mir, Andreas Weidemann, Ulrike Wittig BMC Systems Biology 2007, 1(Suppl 1):S6 (8 May 2007) http://www.biomedcentral.com/1752-0509/1/S1/S6 ![]() Integration of SABIO-RK in workbenches for kinetic model design Martin Golebiewski, Saqib Mir, Renate Kania, Olga Krebs, Andreas Weidemann, Ulrike Wittig, Isabel Rojas BMC Systems Biology 2007, 1(Suppl 1):P4 (8 May 2007) http://www.biomedcentral.com/1752-0509/1/S1/P4 ![]() Storing and annotating of kinetic data Rojas I, Golebiewski M, Kania R, Krebs O, Mir S, Weidemann A, Wittig U. In Silico Biol. 2007;7(2 Suppl):S37-44. PMID: 17822389 http://www.bioinfo.de/isb/2007/07/S1/05/ ![]()
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