Mathematical models of cell factories: moving towards the core of industrial biotechnology
Journal article, 2011
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.
thermodynamic feasibility
osmotic-stress
corynebacterium-glutamicum
complex metabolic networks
approximation
biochemical systems analysis
escherichia-coli
analysis
power-law
saccharomyces-cerevisiae
pathway
fission yeast
Author
Marija Cvijovic
Chalmers, Chemical and Biological Engineering, Life Sciences
Sergio Velasco
Chalmers, Chemical and Biological Engineering, Life Sciences
Jens B Nielsen
Chalmers, Chemical and Biological Engineering, Life Sciences
Microbial Biotechnology
1751-7907 (ISSN) 17517915 (eISSN)
Vol. 4 5 572-584Subject Categories
Industrial Biotechnology
Areas of Advance
Life Science Engineering (2010-2018)
DOI
10.1111/j.1751-7915.2010.00233.x