Metabolic engineering analysis

After measuring the fluxes through the metabolic network, it is necessary to determine the extent to which each pathway or enzyme controls the net fluxes. Metabolic control analysis (MCA) is a technique used to elucidate how flux control is distributed in a metabolic network, thereby providing the information for identification of potential targets for metabolic engineering [8],... 

The Case for More Extensive Analysis to Support Metabolic Engineering.. 71... 

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I. G. L. Libourel and Y. Shachar Hill, Metabolic flux analysis in plants From intelligent design to rational engineering. Annu. Rev. Plant Biol. 59, 625 650 (2008). 

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The following chapter shows the application of MS to metabolic flux analysis with different examples. Whereas some of them focus on flux quantification of only a single or a few selected reactions, others aim at the analysis of larger parts of the metabohsm. The overview given should illustrate the broad application potential of MS for metabohc flux analysis by examples from different fields of research. The majority of studies belongs to the medical field, whereas so far only few examples can be found in the area of biochemical engineering. 

Schwender J. 2008. Metabolic flux analysis as a tool in metabolic engineering of plants. Curr Opin Biotech 19 131-137. 

A. J. Sinskey, and G. N. Stephanopoulos, Optimizing bioconversion pathways through systems analysis and metabolic engineering, Proc. Natl. Acad. Sci. USA 2002, 99, 1801-1806. 

ACV synthetase presents a suitable model system to analyze structure-function relations in NRPS systems [89], Here we have focused on the current state of understanding and interpretation of structure-function relations of ACV synthetases. These aspects are of importance for the future development of nonribo-somal peptide-forming systems, especially in filamentous fungal hosts. Other major aspects of process analysis and metabolic engineering approaches to improve the yield of antibiotic fermentations have not been discussed. These process aspects include the following four approaches. 

Martens, D. E. Hugenholtz, J. Kleere-bezem, M. et al. Metabolic engineering of lactic add bacteria, the combined approach kinetic modelling, metabolic control and experimental analysis. Microbiology 2002,148 1003-1013. 

In another example, comparative genome comparison was combined with constraints-based flux analysis to develop metabolic engineering strategies for the enhanced production of succinic acid by E. coli [1, 39, 40]. Comparative genome analysis of E. coli and M. succiniciproducens predicted five candidate genes to be manipulated for overproducing succinic acid in E. coli. Then, constraints-based flux... 

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