Abstract
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 |
| DOIs | |
| State | Published - 2008 |
| Externally published | Yes |
| Event | 17th World Congress, International Federation of Automatic Control, IFAC - Seoul, Korea, Republic of Duration: Jul 6 2008 → Jul 11 2008 |
Publication series
| Name | IFAC Proceedings Volumes (IFAC-PapersOnline) |
|---|---|
| Number | 1 PART 1 |
| Volume | 17 |
| ISSN (Print) | 1474-6670 |
Other
| Other | 17th World Congress, International Federation of Automatic Control, IFAC |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Seoul |
| Period | 7/6/08 → 7/11/08 |
Bibliographical note
Funding 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.
Keywords
- Estimation and control in systems biology
