abstract: 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. / Dissertation/Thesis / Ph.D. Biological Design 2013
| Identifer | oai:union.ndltd.org:asu.edu/item:18790 |
| Date | January 2013 |
| Contributors | Mielke, Clinton (Author), Mandarino, Lawrence (Advisor), Labaer, Joshua (Advisor), 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) |
| Source Sets | Arizona State University |
| Language | English |
| Detected Language | English |
| Type | Doctoral Dissertation |
| Format | 192 pages |
| Rights | http://rightsstatements.org/vocab/InC/1.0/, All Rights Reserved |
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