The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models

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ID: 290005
2003
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Abstract
Abstract Motivation: Molecular biotechnology now makes it possible to build elaborate systems models, but the systems biology community needs information standards if models are to be shared, evaluated and developed cooperatively. Results: We summarize the Systems Biology Markup Language (SBML) Level 1, a free, open, XML-based format for representing biochemical reaction networks. SBML is a software-independent language for describing models common to research in many areas of computational biology, including cell signaling pathways, metabolic pathways, gene regulation, and others. Availability: The specification of SBML Level 1 is freely available from http://www.sbml.org/ Contact: sysbio-team@caltech.edu * To whom correspondence should be addressed.
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Authors Michael Hucka, Andrew Finney, Herbert M. Sauro, Hamid Bolouri, John C. Doyle, Hiroaki Kitano, Adam P. Arkin, B. Bornstein, D. Bray, Athel Cornish‐Bowden, Autumn Cuellar, С. М. Дронов, E. D. Gilles, Martin Ginkel, V. Gor, Igor Goryanin, Warren Hedley, Charlie Hodgman, Jan Hofmeyr, Peter Hunter, Nick Juty, Jay Kasberger, Andreas Kremling, Ursula Kummer, Nicolas Le Novère, Leslie M. Loew, Daniel Lucio, Pedro Mendes, Eric Minch, Eric Mjolsness, Yoichi Nakayama, M. R. Nelson, Poul Nielsen, Takeshi Sakurada, James C. Schaff, Bruce E. Shapiro, Thomas Shimizu, H. D. Spence, Joerg Stelling, Koichi Takahashi, Masaru Tomita, J. Wagner, Jian Wang
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Journal BMC Bioinformatics
Year 2003
DOI
10.1093/bioinformatics/btg015
URL
https://doi.org/10.1093/bioinformatics/btg015
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