Volume 1115, Issue 1 p. 221-239

Sensitivity Analysis of a Computational Model of the IKK–NF-κB–IκBα–A20 Signal Transduction Network

JAEWOOK JOO

JAEWOOK JOO

Computational Biosciences

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STEVE PLIMPTON

STEVE PLIMPTON

Computational Biology

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SHAWN MARTIN

SHAWN MARTIN

Computational Biology

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LAURA SWILER

LAURA SWILER

Optimization and Uncertainty Estimation, Sandia National Laboratories, Albuquerque, New Mexico 87185-1318, USA

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JEAN-LOUP FAULON

JEAN-LOUP FAULON

Computational Biosciences

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First published: 16 November 2007
Citations: 17
Address for correspondence: Jaewook Joo, Department of Computational Biosciences, Sandia National Laboratories, P.O. Box 5800 Albuquerque, NM 87185-1413. Voice: 505-284-6766; fax: 505-284-1323
[email protected]

Abstract

Abstract: The NF-κB signaling network plays an important role in many different compartments of the immune system during immune activation. Using a computational model of the NF-κB signaling network involving two negative regulators, IκBα 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-κB signaling response. We also present a classification of temporal-response profiles of nuclear NF-κB concentration into six clusters, which can be regrouped to three biologically relevant clusters. Last, we constructed a reduced network of the IKK–NF-κB–IκBα–A20 signal transduction based on the ranking.