Integration of constraints documented in SBML, SBO, and the SBML Manual facilitates validation of biological models

The creation of quantitative, simulatable, Systems Biology Markup Language (SBML) models that accurately simulate the system under study is a time-intensive manual process that requires careful checking. Currently, the rules and constraints of model creation, curation, and annotation are distributed...

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Main Authors: Lister Allyson L., Pocock Matthew, Wipat Anil
Format: Article
Language:English
Published: De Gruyter 2007-12-01
Series:Journal of Integrative Bioinformatics
Online Access:https://doi.org/10.1515/jib-2007-80
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spelling doaj-d9443f42cbe64afcbee360934eabc09f2021-09-06T19:40:30ZengDe GruyterJournal of Integrative Bioinformatics1613-45162007-12-014325226310.1515/jib-2007-80biecoll-jib-2007-80Integration of constraints documented in SBML, SBO, and the SBML Manual facilitates validation of biological modelsLister Allyson L.0Pocock Matthew1Wipat Anil2Centre for Integrated Systems Biology of Ageing and Nutrition (http://www.cisban.ac.uk), United Kingdom of Great Britain and Northern IrelandSchool of Computing Science (http://www.cs.ncl.ac.uk), Newcastle University (http://www.ncl.ac.uk), United Kingdom of Great Britain and Northern IrelandCentre for Integrated Systems Biology of Ageing and Nutrition (http://www.cisban.ac.uk), United Kingdom of Great Britain and Northern IrelandThe creation of quantitative, simulatable, Systems Biology Markup Language (SBML) models that accurately simulate the system under study is a time-intensive manual process that requires careful checking. Currently, the rules and constraints of model creation, curation, and annotation are distributed over at least three separate documents: the SBML schema document (XSD), the Systems Biology Ontology (SBO), and the “Structures and Facilities for Model Definition” document. The latter document contains the richest set of constraints on models, and yet it is not amenable to computational processing. We have developed a Web Ontology Language (OWL) knowledge base that integrates these three structure documents, and that contains a representative sample of the information contained within them. This Model Format OWL (MFO) performs both structural and constraint integration and can be reasoned over and validated. SBML Models are represented as individuals of OWL classes, resulting in a single computationally amenable resource for model checking. Knowledge that was only accessible to humans is now explicitly and directly available for computational approaches. The integration of all structural knowledge for SBML models into a single resource creates a new style of model development and checking.https://doi.org/10.1515/jib-2007-80
collection DOAJ
language English
format Article
sources DOAJ
author Lister Allyson L.
Pocock Matthew
Wipat Anil
spellingShingle Lister Allyson L.
Pocock Matthew
Wipat Anil
Integration of constraints documented in SBML, SBO, and the SBML Manual facilitates validation of biological models
Journal of Integrative Bioinformatics
author_facet Lister Allyson L.
Pocock Matthew
Wipat Anil
author_sort Lister Allyson L.
title Integration of constraints documented in SBML, SBO, and the SBML Manual facilitates validation of biological models
title_short Integration of constraints documented in SBML, SBO, and the SBML Manual facilitates validation of biological models
title_full Integration of constraints documented in SBML, SBO, and the SBML Manual facilitates validation of biological models
title_fullStr Integration of constraints documented in SBML, SBO, and the SBML Manual facilitates validation of biological models
title_full_unstemmed Integration of constraints documented in SBML, SBO, and the SBML Manual facilitates validation of biological models
title_sort integration of constraints documented in sbml, sbo, and the sbml manual facilitates validation of biological models
publisher De Gruyter
series Journal of Integrative Bioinformatics
issn 1613-4516
publishDate 2007-12-01
description The creation of quantitative, simulatable, Systems Biology Markup Language (SBML) models that accurately simulate the system under study is a time-intensive manual process that requires careful checking. Currently, the rules and constraints of model creation, curation, and annotation are distributed over at least three separate documents: the SBML schema document (XSD), the Systems Biology Ontology (SBO), and the “Structures and Facilities for Model Definition” document. The latter document contains the richest set of constraints on models, and yet it is not amenable to computational processing. We have developed a Web Ontology Language (OWL) knowledge base that integrates these three structure documents, and that contains a representative sample of the information contained within them. This Model Format OWL (MFO) performs both structural and constraint integration and can be reasoned over and validated. SBML Models are represented as individuals of OWL classes, resulting in a single computationally amenable resource for model checking. Knowledge that was only accessible to humans is now explicitly and directly available for computational approaches. The integration of all structural knowledge for SBML models into a single resource creates a new style of model development and checking.
url https://doi.org/10.1515/jib-2007-80
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