The rise in computational systems biology approaches for understanding NF-κB signaling dynamics

Richard Alun Williams; Jon Timmis; Eva Qwarnstrom

doi:10.1126/scisignal.aac6503

The rise in computational systems biology approaches for understanding NF-κB signaling dynamics

Richard Alun Williams, Jon Timmis, Eva Qwarnstrom

Electronic Engineering

Research output: Contribution to journal › Comment/debate › peer-review

Abstract

A study by Cheng et al. in this issue of Science Signaling highlights the distinct single-cell signaling characteristics conferred by pathways mediated by the adaptor proteins MyD88 and TRIF in the TLR4-dependent activation of the transcription factor nuclear factor κB (NF-κB).

Original language	English
Article number	fs13
Journal	Science Signaling
Volume	8
Issue number	385
DOIs	https://doi.org/10.1126/scisignal.aac6503
Publication status	Published - 14 Jul 2015

Keywords

computational modelling
NF-kappa B

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10.1126/scisignal.aac6503

C2D2 Consolidator 3a - York Computational Immunology Lab: Advancing Immunology Through Computational Modelling
Coles, M. C. (Principal investigator), Timmis, J. (Principal investigator), Rose, L. M. (Co-investigator), Polack, F. A. C. (Co-investigator), Lagos, D. (Co-investigator), Kullberg, M. C. (Co-investigator), Kaye, P. (Principal investigator) & Bees, M. A. (Co-investigator)
1/01/14 → 31/12/14
Project: Other project › Other internal award
Wolfson Merit Award
Timmis, J.
THE ROYAL SOCIETY
1/04/11 → 31/03/16
Project: Research project (funded) › Research

Cite this

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title = "The rise in computational systems biology approaches for understanding NF-κB signaling dynamics",

abstract = "A study by Cheng et al. in this issue of Science Signaling highlights the distinct single-cell signaling characteristics conferred by pathways mediated by the adaptor proteins MyD88 and TRIF in the TLR4-dependent activation of the transcription factor nuclear factor κB (NF-κB).",

keywords = "computational modelling, NF-kappa B",

author = "Williams, {Richard Alun} and Jon Timmis and Eva Qwarnstrom",

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AU - Timmis, Jon

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AB - A study by Cheng et al. in this issue of Science Signaling highlights the distinct single-cell signaling characteristics conferred by pathways mediated by the adaptor proteins MyD88 and TRIF in the TLR4-dependent activation of the transcription factor nuclear factor κB (NF-κB).

KW - computational modelling

KW - NF-kappa B

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DO - 10.1126/scisignal.aac6503

M3 - Comment/debate

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VL - 8

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The rise in computational systems biology approaches for understanding NF-κB signaling dynamics

Abstract

Keywords

Access to Document

Projects

C2D2 Consolidator 3a - York Computational Immunology Lab: Advancing Immunology Through Computational Modelling

Wolfson Merit Award

Cite this