Skip to main content

Systems Biology Markup Language (SBML)

  • Living reference work entry
  • First Online:
Encyclopedia of Computational Neuroscience

Synonyms

SBML

Definition

SBML (the Systems Biology Markup Language, http://sbml.org) is a representation format designed to enable software systems to communicate and store computational models of biological processes. It is not intended as a universal language for quantitative models; rather, SBML’s purpose is to serve as a lingua franca for exchanging the essential aspects of a computational model between widely different software systems and databases.

Detailed Description

A vast number of modeling and simulation software tools are available today for research in biological domains such as computational neuroscience. This wealth of resources is a boon to researchers, but it also presents interoperability problems. Different software tools for systems biology are implemented in different programming languages, run on different operating systems, express models using different mathematical frameworks, provide different analysis methods, present different user interfaces, and support...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Reference

  • Hucka M, Finney A, Sauro HM, Bolouri H, Doyle JC, Kitano H, Arkin AP, Bornstein BJ, Bray D, Cornish-Bowden A, Cuellar AA, Dronov S, Gilles ED, Ginkel M, Gor V, Goryanin II, Hedley WJ, Hodgman TC, Hofmeyr J-HS, Hunter PJ, Juty NS, Kasberger JL, Kremling A, Kummer U, Le Novère N, Loew LM, Lucio D, Mendes P, Minch E, Mjolsness ED, Nakayama Y, Nelson MR, Nielsen PF, Sakurada T, Schaff JC, Shapiro BE, Shimizu TS, Spence HD, Stelling J, Takahashi K, Tomita M, Wagner JM, Wang J (2003) The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models. Bioinformatics 19:524–531

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Michael Hucka .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media New York

About this entry

Cite this entry

Hucka, M. (2013). Systems Biology Markup Language (SBML). In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_376-4

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_376-4

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4614-7320-6

  • eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences

Publish with us

Policies and ethics