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Immunol Rev. 2012 Mar;246(1):221-38. doi: 10.1111/j.1600-065X.2011.01092.x.

Lessons from mathematically modeling the NF-κB pathway.

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Systems Immunology Laboratory, National Institute of Immunology, Aruna Asaf Ali Marg, New Delhi, India.


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.

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