Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ymben.2005.10.001
DC FieldValue
dc.titleColored Petri net modeling and simulation of signal transduction pathways
dc.contributor.authorLee, D.-Y.
dc.contributor.authorZimmer, R.
dc.contributor.authorLee, S.Y.
dc.contributor.authorPark, S.
dc.date.accessioned2014-06-17T07:37:25Z
dc.date.available2014-06-17T07:37:25Z
dc.date.issued2006-03
dc.identifier.citationLee, D.-Y., Zimmer, R., Lee, S.Y., Park, S. (2006-03). Colored Petri net modeling and simulation of signal transduction pathways. Metabolic Engineering 8 (2) : 112-122. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ymben.2005.10.001
dc.identifier.issn10967176
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/63604
dc.description.abstractPresented herein is a methodology for quantitatively analyzing the complex signaling network by resorting to colored Petri nets (CPN). The mathematical as well as Petri net models for two basic reaction types were established, followed by the extension to a large signal transduction system stimulated by epidermal growth factor (EGF) in an application study. The CPN models based on the Petri net representation and the conservation and kinetic equations were used to examine the dynamic behavior of the EGF signaling pathway. The usefulness of Petri nets is demonstrated for the quantitative analysis of the signal transduction pathway. Moreover, the trade-offs between modeling capability and simulation efficiency of this pathway are explored, suggesting that the Petri net model can be invaluable in the initial stage of building a dynamic model. © 2005 Elsevier Inc. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.ymben.2005.10.001
dc.sourceScopus
dc.subjectColored Petri nets (CPN)
dc.subjectEpidermal growth factor (EGF)
dc.subjectPetri net representation
dc.subjectSignal transduction networks
dc.subjectSystems biology
dc.typeArticle
dc.contributor.departmentCHEMICAL & BIOMOLECULAR ENGINEERING
dc.description.doi10.1016/j.ymben.2005.10.001
dc.description.sourcetitleMetabolic Engineering
dc.description.volume8
dc.description.issue2
dc.description.page112-122
dc.description.codenMEENF
dc.identifier.isiut000236053000003
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