Yield and productivity are critical for
the economics and viability of a bioprocess. In Metab. Eng., the
main objective is the increase of a target metabolite production
through genetic engineering. However, genetic manipulations usually
result in lower productivity due to growth impairment. Previously,
it has been shown that the dynamic control of metabolic fluxes can
increase the amount of product formed in an anaerobic batch fermentation
of Escherichia coli. In order to apply this control strategy, the
genetic toggle switch is used to manipulate key fluxes of the metabolic
network. We have designed and analyzed an integrated computational
model for the dynamic control of gene expression. This controller,
when coupled to the metabolism of E. coli, resulted in increased
bioprocess productivity. (C) 2008 Elsevier Inc. All rights reserved.
%0 Journal Article
%1 Anesiadis2008
%A Anesiadis, N.
%A Cluett, W. R.
%A Mahadevan, R.
%D 2008
%J Metab. Eng.
%K BIOCHEMICAL CELL-CELL COMMUNICATION; ESCHERICHIA-COLI; FRAMEWORK; GENE; MICROBIAL-GROWTH; NETWORKS; OPTIMIZATION; SELECTION SUCCINATE; SYSTEMS-THEORY;
%N 5
%P 255--266
%T Dynamic Metab. Eng. for increasing bioprocess productivity
%V 10
%X Yield and productivity are critical for
the economics and viability of a bioprocess. In Metab. Eng., the
main objective is the increase of a target metabolite production
through genetic engineering. However, genetic manipulations usually
result in lower productivity due to growth impairment. Previously,
it has been shown that the dynamic control of metabolic fluxes can
increase the amount of product formed in an anaerobic batch fermentation
of Escherichia coli. In order to apply this control strategy, the
genetic toggle switch is used to manipulate key fluxes of the metabolic
network. We have designed and analyzed an integrated computational
model for the dynamic control of gene expression. This controller,
when coupled to the metabolism of E. coli, resulted in increased
bioprocess productivity. (C) 2008 Elsevier Inc. All rights reserved.
@article{Anesiadis2008,
abstract = {Yield and productivity are critical for
the economics and viability of a bioprocess. In Metab. Eng., the
main objective is the increase of a target metabolite production
through genetic engineering. However, genetic manipulations usually
result in lower productivity due to growth impairment. Previously,
it has been shown that the dynamic control of metabolic fluxes can
increase the amount of product formed in an anaerobic batch fermentation
of Escherichia coli. In order to apply this control strategy, the
genetic toggle switch is used to manipulate key fluxes of the metabolic
network. We have designed and analyzed an integrated computational
model for the dynamic control of gene expression. This controller,
when coupled to the metabolism of E. coli, resulted in increased
bioprocess productivity. (C) 2008 Elsevier Inc. All rights reserved.},
added-at = {2010-12-02T09:30:05.000+0100},
author = {Anesiadis, N. and Cluett, W. R. and Mahadevan, R.},
biburl = {https://www.bibsonomy.org/bibtex/2230dacf39c02c450e2ce9ed43f2431a0/afranz},
interhash = {b1557300d0cc1935879d1eb3c9489690},
intrahash = {230dacf39c02c450e2ce9ed43f2431a0},
journal = {Metab. Eng.},
keywords = {BIOCHEMICAL CELL-CELL COMMUNICATION; ESCHERICHIA-COLI; FRAMEWORK; GENE; MICROBIAL-GROWTH; NETWORKS; OPTIMIZATION; SELECTION SUCCINATE; SYSTEMS-THEORY;},
number = 5,
pages = {255--266},
timestamp = {2010-12-02T09:30:05.000+0100},
title = {Dynamic Metab. Eng. for increasing bioprocess productivity},
volume = 10,
year = 2008
}