Sensitivity Analysis of a Computational Model of the IKK NF- B I B A20 Signal Transduction Network

Autor:	Jean-Loup Faulon, Jaewook Joo, Laura Painton Swiler, Steve Plimpton, Shawn Martin
Rok vydání:	2007
Předmět:	Chemistry General Neuroscience NF-κB IκB kinase Computational biology Signal transduction network General Biochemistry Genetics and Molecular Biology chemistry.chemical_compound Kinetic rate IκBα Immune system History and Philosophy of Science Sensitivity (control systems) Signal transduction
Zdroj:	Annals of the New York Academy of Sciences. 1115:221-239
ISSN:	0077-8923
Popis:	The NF-kappaB signaling network plays an important role in many different compartments of the immune system during immune activation. Using a computational model of the NF-kappaB signaling network involving two negative regulators, IkappaBalpha and A20, we performed sensitivity analyses with three different sampling methods and present a ranking of the kinetic rate variables by the strength of their influence on the NF-kappaB signaling response. We also present a classification of temporal-response profiles of nuclear NF-kappaB concentration into six clusters, which can be regrouped to three biologically relevant clusters. Last, we constructed a reduced network of the IKK-NF-kappaB-IkappaBalpha-A20 signal transduction based on the ranking.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::34c9364681ee069dae4a0681788dd039 https://doi.org/10.1196/annals.1407.014 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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