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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.
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    Title
    • Towards a systems biology understanding of metabolic syndrome
    Contributors
    Date Created
    2013
    Resource Type
  • Text
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    Note
    • thesis
      Partial requirement for: Ph.D., Arizona State University, 2013
    • bibliography
      Includes bibliographical references (p. 168-181)
    • Field of study: Biological design

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    by Clinton Mielke

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