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.
Details
Contributors
- Mielke, Clinton (Author)
- Mandarino, Lawrence (Committee member)
- LaBaer, Joshua (Committee member)
- Magee, D. Mitchell (Committee member)
- Dinu, Valentin (Committee member)
- Willis, Wayne (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2013
Topical Subject
Resource Type
Language
- eng
Note
- thesisPartial requirement for: Ph.D., Arizona State University, 2013
- bibliographyIncludes bibliographical references (p. 168-181)
- Field of study: Biological design