Cameron Cotten
Great Lakes Bioenergy Research Center
4 Papers
Cameron Cotten is an academic researcher from Great Lakes Bioenergy Research Center. The author has contributed to research in topics: Flux balance analysis & Biology. The author has an hindex of 3, co-authored 4 publications. Previous affiliations of Cameron Cotten include University of Wisconsin-Madison.
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Papers
Complex Physiology and Compound Stress Responses during Fermentation of Alkali-Pretreated Corn Stover Hydrolysate by an Escherichia coli Ethanologen
Michael S. Schwalbach,David H. Keating,Mary Tremaine,Wesley D. Marner,Yaoping Zhang,William Bothfeld,Alan Higbee,Jeffrey A. Grass,Jeffrey A. Grass,Cameron Cotten,Cameron Cotten,Jennifer L. Reed,Jennifer L. Reed,Leonardo da Costa Sousa,Leonardo da Costa Sousa,Mingjie Jin,Mingjie Jin,Venkatesh Balan,Venkatesh Balan,James J. Ellinger,James J. Ellinger,Bruce E. Dale,Bruce E. Dale,Patricia J. Kiley,Patricia J. Kiley,Robert Landick,Robert Landick +26 more
TL;DR: Comparative gene expression profiling and metabolic modeling of the ethanologen suggested that the high energetic cost of mitigating osmotic, lignotoxin, andanol stress collectively limits growth, sugar utilization rates, and ethanol yields in alkali-pretreated lignocellulosic hydrolysates.
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Mechanistic analysis of multi-omics datasets to generate kinetic parameters for constraint-based metabolic models
TL;DR: In this study, an in vivo kinetic parameter estimation problem was formulated and solved using multi-omic data sets for Escherichia coli, resulting in fewer kinetic parameters than the full kinetic model, and strategies and outcomes of kinetic model simplification are identified.
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Applications of Constraint-Based Models for Biochemical Production
Cameron Cotten,Cameron Cotten,Jennifer L. Reed,Jennifer L. Reed +3 more
- 01 Jan 2016
TL;DR: This paper presents genome-scale metabolic models, which enable global analysis of microbial metabolism by considering all metabolic reactions simultaneously, and constraint-based modeling methods, which have been successful in designing a number of chemical production strains.
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Constraint-based strain design using continuous modifications (CosMos) of flux bounds finds new strategies for metabolic engineering
TL;DR: This study proposes a new strain design method with continuous modifications (CosMos) that provides strategies for deletions, downregulations, and upregulations of fluxes that will lead to the production of the desired products.