Analysis of a detailed mathematical model of the insulin signaling pathway yields a more quantitative understanding of the mechanisms underlying insulin resistance and its subsequent progression to type 2 diabetes. A simple dynamic sensitivity analysis of the model allows optimization of input perturbation as well as state measurement selection for experimental parameter identification. Finally, a stochastic version of the model has yielded promising preliminary results on the impact of cellular noise on insulin sensitivity.
|Original language||English (US)|
|Title of host publication||Proceedings of the 17th World Congress, International Federation of Automatic Control, IFAC|
|Edition||1 PART 1|
|State||Published - 2008|
|Event||17th World Congress, International Federation of Automatic Control, IFAC - Seoul, Korea, Republic of|
Duration: Jul 6 2008 → Jul 11 2008
|Name||IFAC Proceedings Volumes (IFAC-PapersOnline)|
|Number||1 PART 1|
|Other||17th World Congress, International Federation of Automatic Control, IFAC|
|Country/Territory||Korea, Republic of|
|Period||7/6/08 → 7/11/08|
Bibliographical noteFunding Information:
⋆This work was supported by the Institute for Collaborative Biotechnologies through grant #DFR3A-8-447850-23002 from the U.S. Army Research Office and by the NSF through IGERT grant #DGE02-2175.
- Estimation and control in systems biology