Towards a systems biology understanding of metabolic syndrome
Description
This dissertation investigates the condition of skeletal muscle insulin resistance using bioinformatics and computational biology approaches. Drawing from several studies and numerous data sources, I have attempted to uncover molecular mechanisms at multiple levels. From the detailed atomistic simulations of a single protein, to datamining approaches applied at the systems biology level, I provide new targets to explore for the research community. Furthermore I present a new online web resource that unifies various bioinformatics databases to enable discovery of relevant features in 3D protein structures.
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2013
Agent
- Author (aut): Mielke, Clinton
- Committee member: Mandarino, Lawrence
- Committee member: LaBaer, Joshua
- Committee member: Magee, D. Mitchell
- Committee member: Dinu, Valentin
- Committee member: Willis, Wayne
- Publisher (pbl): Arizona State University