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

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
Date Created
2013
Resource Type
Language
  • eng
Note
  • thesis
    Partial requirement for: Ph.D., Arizona State University, 2013
  • bibliography
    Includes bibliographical references (p. 168-181)
  • Field of study: Biological design
Citation and reuse
Statement of Responsibility
by Clinton Mielke
Additional Information
English
Extent
  • x, 181 p. : ill. (some col.)
Open Access
Peer-reviewed