Please use this identifier to cite or link to this item:
Title: Colored Petri net modeling and simulation of signal transduction pathways
Authors: Lee, D.-Y. 
Zimmer, R.
Lee, S.Y.
Park, S.
Keywords: Colored Petri nets (CPN)
Epidermal growth factor (EGF)
Petri net representation
Signal transduction networks
Systems biology
Issue Date: Mar-2006
Citation: Lee, 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.
Abstract: Presented 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.
Source Title: Metabolic Engineering
ISSN: 10967176
DOI: 10.1016/j.ymben.2005.10.001
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Oct 12, 2021


checked on Oct 12, 2021

Page view(s)

checked on Oct 14, 2021

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.