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Mathematical models of cell factories: moving towards the core of industrial biotechnology

Marija Cvijovic (Institutionen för kemi- och bioteknik, Systembiologi) ; Sergio Bordel Velasco (Institutionen för kemi- och bioteknik, Systembiologi) ; Jens B. Nielsen (Institutionen för kemi- och bioteknik, Systembiologi)
Microbial Biotechnology (1751-7907). Vol. 4 (2011), 5, p. 572-584.
[Artikel, refereegranskad vetenskaplig]

Industrial biotechnology involves the utilization of cell factories for the production of fuels and chemicals. Traditionally, the development of highly productive microbial strains has relied on random mutagenesis and screening. The development of predictive mathematical models provides a new paradigm for the rational design of cell factories. Instead of selecting among a set of strains resulting from random mutagenesis, mathematical models allow the researchers to predict in silico the outcomes of different genetic manipulations and engineer new strains by performing gene deletions or additions leading to a higher productivity of the desired chemicals. In this review we aim to summarize the main modelling approaches of biological processes and illustrate the particular applications that they have found in the field of industrial microbiology.

Nyckelord: biochemical systems analysis, complex metabolic networks, power-law, approximation, escherichia-coli, saccharomyces-cerevisiae, pathway, analysis, osmotic-stress, fission yeast, corynebacterium-glutamicum, thermodynamic feasibility

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Denna post skapades 2011-09-08. Senast ändrad 2014-10-27.
CPL Pubid: 145945


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Institutioner (Chalmers)

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


Industriell bioteknik

Chalmers infrastruktur