Modelling Biological Modularity with CellML

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dc.contributor.author Cooling, Michael en
dc.contributor.author Hunter, Peter en
dc.contributor.author Crampin, Edmund en
dc.date.accessioned 2011-08-16T03:51:49Z en
dc.date.accessioned 2015-02-17T22:16:03Z en
dc.date.issued 2008-03 en
dc.identifier.citation IET Systems Biology, 2008, 2 (2), pp. 73 - 79 en
dc.identifier.issn 1751-8849 en
dc.identifier.uri http://hdl.handle.net/2292/24559 en
dc.description.abstract In recent years advances in the construction of mathematical models of biological systems have yielded an array of valuable constructs. The authors seek to provide a ‘leading practice’ method for implementing modularised kinetic mass-action models in order to obtain a number of advantages in model construction, validation and derived insights. The authors advocate the consideration of ‘accounting cycles’ or ‘chains’ to define ‘functional’ components and the separate consideration of ‘messenger’ components for mobile or diffusive molecular species. From a conceptual modularisation the authors illustrate, with an example drawn from signal transduction, a componentbased formulation in the model exchange format cellular modelling markup language (CellML) 1.1 – demonstrating loose coupling between functionally-focused reusable components. Finally, the authors discuss the dilemmas associated with modelling protein-to-protein interactions, and the vision for using future CellML enhancements to resolve potential duplications when combining independently developed models. en
dc.language Eng en
dc.publisher The Institution of Engineering and Technology en
dc.relation.ispartofseries IET Systems Biology en
dc.relation.replaces http://hdl.handle.net/2292/7425 en
dc.relation.replaces 2292/7425 en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from http://www.sherpa.ac.uk/romeo/issn/1751-8849/ en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.subject SIGNAL-TRANSDUCTION en
dc.subject PHYSIOME PROJECT en
dc.subject NETWORKS en
dc.title Modelling Biological Modularity with CellML en
dc.type Journal Article en
dc.identifier.doi 10.1049/iet-syb:20070020 en
pubs.issue 2 en
pubs.begin-page 73 en
pubs.volume 2 en
dc.description.version AM - Accepted Manuscript en
dc.rights.holder Copyright: The Institution of Engineering and Technology en
dc.identifier.pmid 18397118 en
pubs.end-page 79 en
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype Article en
pubs.elements-id 89870 en
pubs.org-id Bioengineering Institute en
pubs.org-id ABI Associates en
pubs.org-id Science en
pubs.org-id Science Research en
pubs.org-id Maurice Wilkins Centre (2010-2014) en
dc.identifier.eissn 1751-8857 en
pubs.record-created-at-source-date 2010-09-01 en
pubs.dimensions-id 18397118 en


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