DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cho, Kwang-Hyun | ko |
dc.contributor.author | Shin, SY | ko |
dc.contributor.author | Kolch, W | ko |
dc.contributor.author | Wolkenhauer, O | ko |
dc.date.accessioned | 2013-03-04T21:21:00Z | - |
dc.date.available | 2013-03-04T21:21:00Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2003-12 | - |
dc.identifier.citation | SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, v.79, pp.726 - 739 | - |
dc.identifier.issn | 0037-5497 | - |
dc.identifier.uri | http://hdl.handle.net/10203/84195 | - |
dc.description.abstract | Mathematical modeling and dynamic simulation of signal transduction pathways is a central theme in systems biology and is increasingly attracting attention in the postgenomic era. The estimation of model parameters from experimental data remains a bottleneck for a major breakthrough in this area. This study's aim is to introduce a new strategy for experimental design based on parameter sensitivity analysis. The approach identifies key parameters/variables in a signal transduction pathway model and can thereby provide experimental biologists with guidance on which proteins to consider for measurement. The article focuses on applying this approach to the TNFalpha-mediated NF-kappaB pathway, which plays an important role in immunity and inflammation and in the control of cell proliferation, differentiation, and apoptosis. A mathematical model of this pathway is proposed, and the sensitivity analysis of model parameters is illustrated for this model by employing the Monte Carlo method over a broad range of parameter values. | - |
dc.language | English | - |
dc.publisher | SAGE PUBLICATIONS LTD | - |
dc.subject | MODELS | - |
dc.subject | IDENTIFICATION | - |
dc.subject | RECEPTORS | - |
dc.subject | NETWORKS | - |
dc.subject | DEATH | - |
dc.subject | LIFE | - |
dc.title | Experimental design in systems biology, based on parameter sensitivity analysis using a Monte Carlo method: A case study for the TNF alpha-mediated NF-kappa B signal transduction pathway | - |
dc.type | Article | - |
dc.identifier.wosid | 000188816400006 | - |
dc.identifier.scopusid | 2-s2.0-1342265607 | - |
dc.type.rims | ART | - |
dc.citation.volume | 79 | - |
dc.citation.beginningpage | 726 | - |
dc.citation.endingpage | 739 | - |
dc.citation.publicationname | SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL | - |
dc.identifier.doi | 10.1177/0037549703040943 | - |
dc.contributor.localauthor | Cho, Kwang-Hyun | - |
dc.contributor.nonIdAuthor | Shin, SY | - |
dc.contributor.nonIdAuthor | Kolch, W | - |
dc.contributor.nonIdAuthor | Wolkenhauer, O | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | systems biology | - |
dc.subject.keywordAuthor | experimental design | - |
dc.subject.keywordAuthor | signal transduction pathway | - |
dc.subject.keywordAuthor | mathematical modeling | - |
dc.subject.keywordAuthor | parametric sensitivity | - |
dc.subject.keywordAuthor | Monte Carlo method | - |
dc.subject.keywordAuthor | TNF alpha | - |
dc.subject.keywordAuthor | NF-kappa B | - |
dc.subject.keywordPlus | MODELS | - |
dc.subject.keywordPlus | IDENTIFICATION | - |
dc.subject.keywordPlus | RECEPTORS | - |
dc.subject.keywordPlus | NETWORKS | - |
dc.subject.keywordPlus | DEATH | - |
dc.subject.keywordPlus | LIFE | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.