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 |