Development of Computational Tools for Metabolic Model Curation, Flux Elucidation and Strain Design [electronic resource].
- Washington, D.C. : United States. Dept. of Energy, 2012.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
- Physical Description:
- 11.3MB : digital, PDF file
- Additional Creators:
- Pennsylvania State University, United States. Department of Energy, United States. Department of Energy. Office of Biological and Environmental Research, and United States. Department of Energy. Office of Scientific and Technical Information
- Restrictions on Access:
- Free-to-read Unrestricted online access
- An overarching goal of the Department of EnergyÂ mission is the efficient deployment and engineering of microbial and plant systems to enable biomass conversion in pursuit of high energy density liquid biofuels. This has spurred the pace at which new organisms are sequenced and annotated. This torrent of genomic information has opened the door to understanding metabolism in not just skeletal pathways and a handful of microorganisms but for truly genome-scale reconstructions derived for hundreds of microbes and plants. Understanding and redirecting metabolism is crucial because metabolic fluxes are unique descriptors of cellular physiology that directly assess the current cellular state and quantify the effect of genetic engineering interventions. At the same time, however, trying to keep pace with the rate of genomic data generation has ushered in a number of modeling and computational challenges related to (i) the automated assembly, testing and correction of genome-scale metabolic models, (ii) metabolic flux elucidation using labeled isotopes, and (iii) comprehensive identification of engineering interventions leading to the desired metabolism redirection.
- Report Numbers:
- E 1.99:doe/fg/25684-1
- Other Subject(s):
- Published through SciTech Connect.
Maranas, Costas D.
- Type of Report and Period Covered Note:
- Final; 08/01/2008 - 07/31/2011
- Funding Information:
View MARC record | catkey: 14653928