Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ymben.2005.10.001
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
Source: 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. https://doi.org/10.1016/j.ymben.2005.10.001
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
URI: http://scholarbank.nus.edu.sg/handle/10635/63604
ISSN: 10967176
DOI: 10.1016/j.ymben.2005.10.001
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