Systems analysis of the insulin signaling pathway

Eric Kwei, Kevin Sanft, Linda Petzold, Francis Doyle

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

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 languageEnglish (US)
Title of host publicationProceedings of the 17th World Congress, International Federation of Automatic Control, IFAC
Edition1 PART 1
DOIs
StatePublished - 2008
Event17th World Congress, International Federation of Automatic Control, IFAC - Seoul, Korea, Republic of
Duration: Jul 6 2008Jul 11 2008

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number1 PART 1
Volume17
ISSN (Print)1474-6670

Other

Other17th World Congress, International Federation of Automatic Control, IFAC
Country/TerritoryKorea, Republic of
CitySeoul
Period7/6/087/11/08

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

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