The benefits of modeling are well recognized throughout engineering. Most systems constructed by people today are simply too complex to fully understand in all situations. The disciplines of systems biology, genetic engineering, and synthetic biology have been influenced by the engineering approach, and as such, as they mature these fields will also benefit from modeling. However, biological systems may prove to be more complicated and so there is an urgent need for advancement of methods for modeling biological systems.
This dissertation chronicles one group's attempt to apply modeling methods to improve their understanding of genotype to phenotype mapping as well as to identify new constructs for synthetic biology. When we began, there was little existing work to leverage, so we started at foundational levels: characterizing a formalism, developing a modeling environment and optimization methods, and applying these methods to several independent problems.
|Advisor:||Reilly, Peter J., Honavar, Vasant|
|Commitee:||Dobbs, Drena L., Hentzel, Irvin R., Jernigan, Robert L.|
|School:||Iowa State University|
|Department:||Genetics, Development and Cell Biology|
|School Location:||United States -- Iowa|
|Source:||DAI-B 70/03, Dissertation Abstracts International|
|Keywords:||Biochemical networks, Evolution, Regulatory networks, Simulation, Synthetic biology|
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