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Use of genome-scale metabolic models for understanding microbial physiology

Liming Liu (Institutionen för kemi- och bioteknik, Systembiologi) ; Rasmus Ågren (Institutionen för kemi- och bioteknik, Systembiologi) ; Sergio Bordel Velasco (Institutionen för kemi- och bioteknik, Systembiologi) ; Jens B. Nielsen (Institutionen för kemi- och bioteknik, Systembiologi)
Febs Letters (0014-5793). Vol. 584 (2010), 12, p. 2556-2564.
[Artikel, refereegranskad vetenskaplig]

The exploitation of microorganisms in industrial, medical, food and environmental biotechnology requires a comprehensive understanding of their physiology. The availability of genome sequences and accumulation of high-throughput data allows gaining understanding of microbial physiology at the systems level, and genome-scale metabolic models represent a valuable framework for integrative analysis of metabolism of microorganisms. Genome-scale metabolic models are reconstructed based on a combination of genome sequence information and detailed biochemical information, and these reconstructed models can be used for analyzing and simulating the operation of metabolism in response to different stimuli. Here we discuss the requirement for having detailed physiological insight in order to exploit microorganisms for production of fuels, chemicals and pharmaceuticals. We further describe the reconstruction process of genome-scale metabolic models and different algorithms that can be used to apply these models to gain improved insight into microbial physiology. (C) 2010 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.

Nyckelord: Genome-scale metabolic model, Reconstruction, Algorithm, Microbial, physiology, flux-balance analysis, escherichia-coli, essential genes, transcriptional regulation, intracellular environment, optimization, framework, information-retrieval, cell-envelope, amino-acids, yeast



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Denna post skapades 2010-06-17. Senast ändrad 2017-09-14.
CPL Pubid: 122915

 

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Institutioner (Chalmers)

Institutionen för kemi- och bioteknik, Systembiologi (2008-2014)

Ämnesområden

Livsvetenskaper
Industriell bioteknik

Chalmers infrastruktur