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Computation 2014, 2(4), 131-158; doi:10.3390/computation2040131

Computational Models of the NF-KB Signalling Pathway

1
Department of Computer Science, University of York, Heslington, York, YO10 5GH, UK
2
York Computational Immunology Laboratory, University of York, Heslington, York, YO10 5DD, UK
3
Department of Management Science, Lancaster University Management School, Lancaster, LA1 4YX, UK
4
Department of Electronics, University of York, Heslington, York, YO10 5DD, UK
5
Department of Cardiovascular Science, Sheffield University Medical School, Sheffield, S10 2RX, UK
*
Author to whom correspondence should be addressed.
Received: 12 May 2014 / Revised: 30 July 2014 / Accepted: 19 August 2014 / Published: 29 September 2014
(This article belongs to the Special Issue Computational Studies of Immune System Function)
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Abstract

In this review article, we discuss the current state of computational modelling of the nuclear factor-kappa B (NF-ΚB) signalling pathway. NF-ΚB is a transcription factor, which is ubiquitous within cells and controls a number of immune responses, including inflammation and apoptosis. The NF-ΚB signalling pathway is tightly regulated, commencing with activation at the cell membrane, signal transduction through various components within the cytoplasm, translocation of NF-ΚB into the nucleus and, finally, the transcription of various genes relating to the innate and adaptive immune responses. There have been a number of computational (mathematical) models developed of the signalling pathway over the past decade. This review describes how these approaches have helped advance our understanding of NF-ΚB control. View Full-Text
Keywords: NF-KB; computational biology; agent-based modelling; mathematical modelling; systems biology; signal transduction NF-KB; computational biology; agent-based modelling; mathematical modelling; systems biology; signal transduction
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Williams, R.A.; Timmis, J.; Qwarnstrom, E.E. Computational Models of the NF-KB Signalling Pathway. Computation 2014, 2, 131-158.

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