Dataset Information

Lee2008 - Genome-scale metabolic network of Clostridium acetobutylicum (iJL432)

ABSTRACT: Lee2008 - Genome-scale metabolic network of Clostridium acetobutylicum (iJL432) This model is described in the article: Genome-scale reconstruction and in silico analysis of the Clostridium acetobutylicum ATCC 824 metabolic network. Lee J, Yun H, Feist AM, Palsson BØ, Lee SY. Appl. Microbiol. Biotechnol. 2008 Oct; 80(5): 849-862 Abstract: To understand the metabolic characteristics of Clostridium acetobutylicum and to examine the potential for enhanced butanol production, we reconstructed the genome-scale metabolic network from its annotated genomic sequence and analyzed strategies to improve its butanol production. The generated reconstructed network consists of 502 reactions and 479 metabolites and was used as the basis for an in silico model that could compute metabolic and growth performance for comparison with fermentation data. The in silico model successfully predicted metabolic fluxes during the acidogenic phase using classical flux balance analysis. Nonlinear programming was used to predict metabolic fluxes during the solventogenic phase. In addition, essential genes were predicted via single gene deletion studies. This genome-scale in silico metabolic model of C. acetobutylicum should be useful for genome-wide metabolic analysis as well as strain development for improving production of biochemicals, including butanol. This model is hosted on BioModels Database and identified by: MODEL1507180030. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

SUBMITTER: Nicolas Le Novère

PROVIDER: MODEL1507180030 | BioModels | 2015-07-30

REPOSITORIES: BioModels

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Genome-scale reconstruction and in silico analysis of the Clostridium acetobutylicum ATCC 824 metabolic network.

Lee Joungmin J Yun Hongseok H Feist Adam M AM Palsson Bernhard Ø BØ Lee Sang Yup SY

Applied microbiology and biotechnology 20080829 5

To understand the metabolic characteristics of Clostridium acetobutylicum and to examine the potential for enhanced butanol production, we reconstructed the genome-scale metabolic network from its annotated genomic sequence and analyzed strategies to improve its butanol production. The generated reconstructed network consists of 502 reactions and 479 metabolites and was used as the basis for an in silico model that could compute metabolic and growth performance for comparison with fermentation d ...[more]

PMID: 18758767

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