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Updated: Jul 10, 2026

A Guide to Production, Crystallization, and Structure Determination of Human IKK1/α
Published on: November 2, 2018
Sensitivity analysis of a computational model of the IKK NF-kappaB IkappaBalpha A20 signal transduction network
Jaewook Joo1, Steve Plimpton, Shawn Martin
1Department of Computational Biosciences, Sandia National Laboratories, P.O. Box 5800 Albuquerque, NM 87185-1413, USA. jjoo@sandia.gov
Abstract:
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.
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