DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, DY | ko |
dc.contributor.author | Zimmer, R | ko |
dc.contributor.author | Lee, SangYup | ko |
dc.contributor.author | Park, Sunwon | ko |
dc.date.accessioned | 2010-11-12T07:28:50Z | - |
dc.date.available | 2010-11-12T07:28:50Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2006-03 | - |
dc.identifier.citation | METABOLIC ENGINEERING, v.8, pp.112 - 122 | - |
dc.identifier.issn | 1096-7176 | - |
dc.identifier.uri | http://hdl.handle.net/10203/19836 | - |
dc.description.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. (c) 2005 Elsevier Inc. All rights reserved. | - |
dc.description.sponsorship | The authors would like to thank Dr. L.T. Fan for valuable comments on this work and Dr. Klaus Voss and Wonjun Park for their help and advice in implementing CPN models. This work was supported by Korean Systems Biology Research Program (M10309020000-03B5002- 00000) of the Ministry of Science and Technology, BK21 project, and by the KOSEF through the Center for Ultramicrochemical Process Systems. Further supports by the LG Chem Chair Professorship and IBM-SUR program are appreciated. | en |
dc.language | English | - |
dc.language.iso | en_US | en |
dc.publisher | ACADEMIC PRESS INC ELSEVIER SCIENCE | - |
dc.title | Colored Petri net modeling and simulation of signal transduction pathways | - |
dc.type | Article | - |
dc.identifier.wosid | 000236053000003 | - |
dc.identifier.scopusid | 2-s2.0-33644817463 | - |
dc.type.rims | ART | - |
dc.citation.volume | 8 | - |
dc.citation.beginningpage | 112 | - |
dc.citation.endingpage | 122 | - |
dc.citation.publicationname | METABOLIC ENGINEERING | - |
dc.identifier.doi | 10.1016/j.ymben.2005.10.001 | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Lee, SangYup | - |
dc.contributor.localauthor | Park, Sunwon | - |
dc.contributor.nonIdAuthor | Lee, DY | - |
dc.contributor.nonIdAuthor | Zimmer, R | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | colored Petri nets (CPN) | - |
dc.subject.keywordAuthor | Petri net representation | - |
dc.subject.keywordAuthor | signal transduction networks | - |
dc.subject.keywordAuthor | systems biology | - |
dc.subject.keywordAuthor | epidermal growth factor (EGF) | - |
dc.subject.keywordPlus | GROWTH-FACTOR RECEPTOR | - |
dc.subject.keywordPlus | PROTEIN-KINASE | - |
dc.subject.keywordPlus | FEEDBACK-REGULATION | - |
dc.subject.keywordPlus | DRUG DISCOVERY | - |
dc.subject.keywordPlus | MAPK PATHWAY | - |
dc.subject.keywordPlus | CASCADE | - |
dc.subject.keywordPlus | SYSTEMS | - |
dc.subject.keywordPlus | ACTIVATION | - |
dc.subject.keywordPlus | DYNAMICS | - |
dc.subject.keywordPlus | BIOLOGY | - |
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