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http://hdl.handle.net/123456789/374
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DC Field | Value | Language |
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dc.contributor.author | Hoffmann, Alexander | - |
dc.date.accessioned | 2014-12-12T10:22:34Z | - |
dc.date.available | 2014-12-12T10:22:34Z | - |
dc.date.issued | 2012-03 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/374 | - |
dc.description.abstract | Mathematical modeling has proved to be a critically important approach in the study of many complex networks and dynamic systems in physics, engineering, chemistry, and biology. The nuclear factor κB (NF-κB) system consists of more than 50 proteins and protein complexes and is both a highly networked and dynamic system. To date, mathematical modeling has only addressed a small fraction of the molecular species and their regulation, but when employed in conjunction with experimental analysis has already led to important insights. Here, we provide a personal account of studying how the NF-κB signaling system functions using mathematical descriptions of the molecular mechanisms. We focus on the insights gained about some of the key regulatory components: the control of the steady state, the signaling dynamics, and signaling crosstalk. We also discuss the biological relevance of these regulatory systems properties. | en_US |
dc.publisher | John Wiley & Sons | en_US |
dc.title | Lessons from mathematically modeling the NF-κB pathway. | en_US |
dc.contributor.coauthor | Basak, Soumen | - |
dc.contributor.coauthor | Behar, Marcelo | - |
dc.keyword | coMputational models, IjB control, Temporal control, Signaling dynamics, Dose–response control, Negative feedback | en_US |
dc.journal | Immunological Reviews | en_US |
dc.volumeno | 246 | en_US |
dc.issueno | 1 | en_US |
dc.pages | 221–238 | en_US |
Appears in Collections: | Systems Immunology, Publications |
Files in This Item:
File | Description | Size | Format | |
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Lessons from mathematically modeling the NF kB pathway.pdf | 680.49 kB | Adobe PDF | View/Open Request a copy |
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