Colored Petri net modeling and simulation of signal transduction pathways

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dc.contributor.authorLee, DYko
dc.contributor.authorZimmer, Rko
dc.contributor.authorLee, SangYupko
dc.contributor.authorPark, Sunwonko
dc.date.accessioned2010-11-12T07:28:50Z-
dc.date.available2010-11-12T07:28:50Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2006-03-
dc.identifier.citationMETABOLIC ENGINEERING, v.8, pp.112 - 122-
dc.identifier.issn1096-7176-
dc.identifier.urihttp://hdl.handle.net/10203/19836-
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. (c) 2005 Elsevier Inc. All rights reserved.-
dc.description.sponsorshipThe 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.languageEnglish-
dc.language.isoen_USen
dc.publisherACADEMIC PRESS INC ELSEVIER SCIENCE-
dc.titleColored Petri net modeling and simulation of signal transduction pathways-
dc.typeArticle-
dc.identifier.wosid000236053000003-
dc.identifier.scopusid2-s2.0-33644817463-
dc.type.rimsART-
dc.citation.volume8-
dc.citation.beginningpage112-
dc.citation.endingpage122-
dc.citation.publicationnameMETABOLIC ENGINEERING-
dc.identifier.doi10.1016/j.ymben.2005.10.001-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorLee, SangYup-
dc.contributor.localauthorPark, Sunwon-
dc.contributor.nonIdAuthorLee, DY-
dc.contributor.nonIdAuthorZimmer, R-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorcolored Petri nets (CPN)-
dc.subject.keywordAuthorPetri net representation-
dc.subject.keywordAuthorsignal transduction networks-
dc.subject.keywordAuthorsystems biology-
dc.subject.keywordAuthorepidermal growth factor (EGF)-
dc.subject.keywordPlusGROWTH-FACTOR RECEPTOR-
dc.subject.keywordPlusPROTEIN-KINASE-
dc.subject.keywordPlusFEEDBACK-REGULATION-
dc.subject.keywordPlusDRUG DISCOVERY-
dc.subject.keywordPlusMAPK PATHWAY-
dc.subject.keywordPlusCASCADE-
dc.subject.keywordPlusSYSTEMS-
dc.subject.keywordPlusACTIVATION-
dc.subject.keywordPlusDYNAMICS-
dc.subject.keywordPlusBIOLOGY-
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