000098648 001__ 98648
000098648 005__ 20180317095317.0
000098648 037__ $$aCONF
000098648 245__ $$aQuantification and characterization of uncertainty in metabolic engineering
000098648 269__ $$a2003
000098648 260__ $$c2003
000098648 336__ $$aConference Papers
000098648 500__ $$aFIELD Section Title:
000098648 500__ $$aChemical Engineering, CMBL,Northwestern University,Evanston,IL,USA. FIELD URL:
000098648 500__ $$awritten in English.
000098648 520__ $$aOne of the central problems in metabolic engineering deals with the identification of the "rate limiting steps", i.e. enzymes whose activities one should manipulate towards the achievement of a desirable performance. However, uncertainty about the kinetic characteristics of the enzymes involved in the pathway of interest makes such identification almost impossible. On the other hand, extensive research within metabolic engineering has enabled the estn. of intracellular metabolic fluxes. Such information, while it provides significant understanding about the functioning of metabolic pathways and, some times, guidance for metabolic engineering, it does not allow a quant. prediction of the metabolic pathway responses to metabolic engineering actions, such as changes in enzyme activities. We have recently developed a method that overcomes these limitations and allows the identification of metabolic engineering targets for the manipulation of metabolic pathways based on information about the stoichiometry of the pathways and the assocd. values of the metabolic fluxes. The framework employs knowledge about the stoichiometry of biochem. networks and the estd. values of the assocd. metabolic fluxes, modeling concepts from metabolic control anal., computational methods, and nonparametric statistics. We will present and discuss the application of the method to the central carbon pathways in E. coli and S. cerevisiae for the identification of the metabolic engineering strategies (i.e., changes in enzyme activities) with the highest probability of success in optimizing conversion of glucose to ethanol. [on SciFinder (R)]
000098648 700__ $$0240657$$aHatzimanikatis, Vassily$$g174688
000098648 700__ $$aBirol, Inanc
000098648 700__ $$aShi, Jiaxiao
000098648 700__ $$aWang, Liqing
000098648 773__ $$qBIOT-169$$tAbstracts of Papers, 225th ACS National Meeting, New Orleans, LA, United States, March 23-27, 2003
000098648 909CO $$ooai:infoscience.tind.io:98648$$pSB$$pconf
000098648 909C0 $$0252131$$pLCSB$$xU11422
000098648 937__ $$aLCSB-CONF-2003-001
000098648 970__ $$a0000000023/LCSB
000098648 973__ $$aOTHER$$rREVIEWED$$sPUBLISHED
000098648 980__ $$aCONF