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

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.

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