000098671 001__ 98671
000098671 005__ 20190316233910.0
000098671 037__ $$aARTICLE
000098671 245__ $$aMetabolic engineering under uncertainty. I: Framework development
000098671 269__ $$a2006
000098671 260__ $$c2006
000098671 336__ $$aJournal Articles
000098671 500__ $$a16-8 FIELD Section Title:Fermentation and Bioindustrial Chemistry
000098671 500__ $$a48
000098671 500__ $$aDepartment of Chemical and Biological Engineering,Northwestern University,Evanston,IL,USA. FIELD URL:
000098671 500__ $$awritten in English.
000098671 520__ $$aStd. bioprocess conditions have been widely applied for the microbial conversion of raw material to essential industrial products. Successful metabolic engineering (ME) strategies require a comprehensive framework to manage the complexity embedded in cellular metab., to explore the impacts of bioprocess conditions on the cellular responses, and to deal with the uncertainty of the physiochem. parameters. We have recently developed a computational and statistical framework that is based on Metabolic Control Anal. and uses a Monte Carlo method to simulate the uncertainty in the values of the system parameters [Wang, L., Birol, I., Hatzimanikatis, V., 2004. Metabolic control anal. under uncertainty: framework development and case studies. Biophys. J. 87(6), 3750-3763]. In this work, we generalize this framework to incorporate the central cellular processes, such as cell growth, and different bioprocess conditions, such as different types of bioreactors. The framework provides the math. basis for the quantification of the interactions between intracellular metab. and extracellular conditions, and it is readily applicable to the identification of optimal ME targets for the improvement of industrial processes [Wang, L., Hatzimanikatis, V., 2005. Metabolic engineering under uncertainty. II: anal. of yeast metab. Submitted]. [on SciFinder (R)]
000098671 6531_ $$amodel metabolic engineering
000098671 700__ $$aWang, Liqing
000098671 700__ $$g174688$$aHatzimanikatis, Vassily$$0240657
000098671 773__ $$j8$$tMetabolic Engineering$$k2$$q133-141
000098671 8564_ $$uhttps://infoscience.epfl.ch/record/98671/files/vh-2006-2.pdf$$zn/a$$s280866
000098671 909C0 $$xU11422$$0252131$$pLCSB
000098671 909CO $$ooai:infoscience.tind.io:98671$$qGLOBAL_SET$$pSB$$particle
000098671 937__ $$aLCSB-ARTICLE-2006-005
000098671 970__ $$a0000000002/LCSB
000098671 973__ $$rREVIEWED$$sPUBLISHED$$aOTHER
000098671 980__ $$aARTICLE