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The Development Of Metabolic Models And Machine Learning Methods For Biofuel-Producing Bacteria, Garrett Roell
The Development Of Metabolic Models And Machine Learning Methods For Biofuel-Producing Bacteria, Garrett Roell
McKelvey School of Engineering Theses & Dissertations
Humans have harnessed the power of microbiology for the creation of fermented foods for over 10,000 years. Synthetic biology now allows chemicals and materials that historically were derived from fossil fuels to be produced via fermentation. These technologies will lessen our dependence on nonrenewable resources and reduce the rate CO2 is released into the atmosphere. Non-model microbial species with unique metabolic traits are promising solutions for bioproduction from renewable feedstocks including lignin, agricultural waste, and CO2. Systems biology characterizations, metabolic models, and data-driven approaches are essential for deciphering and optimizing cell metabolism for these applications.Rhodococcus opacus, R. opacus, is an …