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Understanding how cells integrate the numerous stimuli they encounter in nature into meaningful responses requires acquisition of an in-depth knowledge of their regulatory and metabolic systems. One approach to facilitating this process involves the development of predictive models that integrate data from metabolic and regulatory networks. My current research is aimed at the construction, validation and refinement of such integrated predictive models using the photosynthetic bacterium, Rhodobacter sphaeroides as a model system, with the overarching aim of optimizing this and related organisms for the production of value added metabolites, including biofuel precursors. By combining modeling approaches such as constraint-based analysis with genetic, genomic and phenomic experimental approaches, I aim to uncover novel aspects of the metabolic and regulatory activities of this organism pertinent to the photosynthetic lifestyle.
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David G Glanville,Caroline Mullineaux-Sanders, Christopher J Corcoran,Brian T Burger,Saheed Imam,Timothy J Donohue,Andrew T Ulijasz
CYTOCHROME COMPLEXES: EVOLUTION, STRUCTURES, ENERGY TRANSDUCTION, AND SIGNALING (2016)
Frontiers in microbiology (2015): 409-409
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