Standards > terminology artifact > DOI:10.25504/FAIRsharing.s19src

ready Systems Biology Ontology


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The Systems Biology Ontology is a set of controlled, relational vocabularies of terms commonly used in Systems Biology, and in particular in computational modelling. It consists of seven orthogonal vocabularies defining: reaction participants roles (e.g. "substrate"), quantitative parameters (e.g. "Michaelis constant"), classification of mathematical expressions describing the system (e.g. "mass action rate law"), modelling framework used (e.g. "logical framework"), the nature of the entity (e.g. "macromolecule"), the type of interaction (e.g. "process"), as well as a branch to define the different types of metadata that may be present within a model. Use of such terms introduces a layer of semantic information into the standard description of a model, facilitating its interpretation and efficient reuse.

How to cite this record: SBO; Systems Biology Ontology; DOI:; Last edited: Feb. 22, 2018, 2 p.m.; Last accessed: Mar 24 2018 4:07 a.m.


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Created in 2006

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Record added: Jan. 21, 2016, 10:30 a.m.
Record updated: Jan. 11, 2018, 8:20 p.m. by The FAIRsharing Team.


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Controlled vocabularies and semantics in systems biology.

Courtot M,Juty N,Knupfer C,Waltemath D,Zhukova A,Drager A,Dumontier M,Finney A,Golebiewski M,Hastings J,Hoops S,Keating S,Kell DB,Kerrien S,Lawson J,Lister A,Lu J,Machne R,Mendes P,Pocock M,Rodriguez N,Villeger A,Wilkinson DJ,Wimalaratne S,Laibe C,Hucka M,Le Novere N
Mol Syst Biol 2011

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