 | Figure 2
Nature Biotechnology
22, 1261 - 1267 (2004)
Published online: 6 October 2004; | doi:10.1038/nbt1016
Exploiting biological complexity for strain improvement through systems biologyGregory Stephanopoulos, Hal Alper
& Joel Moxley | | | | Figure 2. Identification of gene targets using global, stoichiometric modeling (H.A., Yong-Su Jin, J.M., G.S., unpublished data).
This computational search makes use of a stoichiometrically balanced, genome-wide bioreaction network of E. coli metabolism whose fluxes are computed to maximize cell growth yield in the framework of Flux Balance Analysis and adjusted by MOMA. These results indicate that novel gene targets arise as the genotype is altered as a result of gene knockouts. This is especially evident in the case of talB. Although talB increases the production level in a gdhA/aceE knockout background, it is detrimental in a gdhA-only knockout background. The gene ghdA encodes glutamate dehydrogenase, gpmB encodes phosphoglucomutase, aceE encodes pyruvate dehydrogenase, fdhF encodes pyruvate formate lyase and talB encodes transaldolase.
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