Metabolic engineering.

@article{Stephanopoulos1998MetabolicE,
  title={Metabolic engineering.},
  author={Gregory Stephanopoulos},
  journal={Biotechnology and bioengineering},
  year={1998},
  volume={58 2-3},
  pages={
          119-20
        }
}
Metabolic engineering is the science that combines systematic analysis of metabolic and other pathways with molecular biological techniques to improve cellular properties by designing and implementing rational genetic modifications. As such, metabolic engineering deals with the measurement of metabolic fluxes and elucidation of their control as determinants of metabolic function and cell physiology. A novel aspect of metabolic engineering is that it departs from the traditional reductionist… 
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32 Citations
Highly Influential Citations
2
Background Citations
13
Methods Citations
4

32 Citations

Metabolic engineering of Escherichia coli for the efficient utilization of plant sugar mixture
TLDR
The flux analysis revealed that slow growth of ptsG mutant is due to less efficient growth, which results in low yields and productivities of the desired product.
Nonstationary metabolic flux analysis (NMFA) for the elucidation of cellular physiology
TLDR
A software package (MetranCL) is built that combines the elementary metabolite unit (EMU) framework, a new network decomposition strategy termed block decoupling, and a customized differential equation solver that performs flux estimations as much as 5000 times faster than the previous state-of-the-art NMFA methods.
How will bioinformatics influence metabolic engineering?
TLDR
This article shows how the genomically defined microbial metabolic genotypes can be analyzed by FBA, and discusses the advantage of this approach, and how FBA is expected to find uses in the near future.
Modelling strategies for the industrial exploitation of lactic acid bacteria
TLDR
The industrial applications of LAB are mapped onto available global, genome-scale metabolic modelling techniques to evaluate the extent to which functional genomics and systems biology can live up to their industrial promise.
Quantitative analysis of relationships between fluxome and metabolome in Escherichia coli
TLDR
A growth rate dependent biomass composition was derived and the resulting metabolic network model only requires the specific rate of growth, μ, as an input in order to accurately predict all other fluxes and yields.
Modular model-based design for heterologous bioproduction in bacteria.
Systems biotechnology of animal cells: the road to prediction.
A study on fatty acid ethyl ester production in a Saccharomyces cerevisiae cell factory
TLDR
Three different metabolic engineering strategies were applied to improve the production of FAEEs in Saccharomyces cerevisiae, pointing out the increased cellular stress that influenced cellular growth and the increased demand of cofactor NADPH which is therefore considered an engineering target for the future.
Gluconeogenesis as a system : development of in vivo flux analysis of hepatic glucose production in Type 2 Diabetes
ized and Polarized Epithelial Cells: a CFTRand Caveolin-1-Dependent Process  Computational modeling of loCal intravasCular drug delivery  An IntegrAted ComputAtIonAl ApproACh for the determInAtIon…
Strategies and tools to improve crop productivity by targeting photosynthesis
TLDR
This work is interested in identifying control points in maize photoassimilation that are amenable to gene manipulation to improve overall productivity and provide step change advancement in overall crop productivity.
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References

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TLDR
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TLDR
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TLDR
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TLDR
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