Full metadata
Title
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
2013
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)
Topical Subject
Resource Type
Extent
x, 181 p. : ill. (some col.)
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.18790
Statement of Responsibility
by Clinton Mielke
Description Source
Retrieved on Jan. 31, 2014
Level of coding
full
Note
thesis
Partial requirement for: Ph.D., Arizona State University, 2013
bibliography
Includes bibliographical references (p. 168-181)
Field of study: Biological design
System Created
- 2013-10-08 04:25:07
System Modified
- 2021-08-30 01:38:08
- 3 years 2 months ago
Additional Formats