000149894 001__ 149894
000149894 005__ 20190213065741.0
000149894 037__ $$aPOST_TALK
000149894 245__ $$aComputational Analysis of Xylose-Utilizing Saccharomyces cerevisiae
000149894 269__ $$a2010
000149894 260__ $$c2010
000149894 336__ $$aPosters
000149894 520__ $$aXylose fermentation from lignocellulosic material using recombinant yeast cells is a promising resource for efficient ethanol production as a future sustainable energy supply. Experimental approaches emphasize the engineering of xylose-utilizing recombinant Saccharomyces cerevisiae strains to overcome the potential bottlenecks of xylose uptake and cofactor imbalance and to minimize the xylitol accumulation. In this work, we apply systems engineering methodology to identify metabolic engineering targets for the optimization of ethanol production by Saccharomyces cerevisiae in the fed-batch culture. We employ a computational framework we have recently developed for Metabolic Control Analysis, i.e., the quantification of the responses of metabolic properties to changes in genetic manipulations and environmental conditions. We find that redistribution of the metabolic flows around pyruvate among carboxylation, decarboxylation, and transport has significant potential in improving total utilization of hexose and pentose sugar as well as its conversion into ethanol.
000149894 6531_ $$aMetabolic control analysis
000149894 6531_ $$ametabolic engineering
000149894 6531_ $$akinetic models
000149894 6531_ $$abiofuels
000149894 700__ $$0240448$$g133818$$aMiskovic, Ljubisa
000149894 700__ $$aHatzimanikatis, Vassily$$g174688$$0240657
000149894 7112_ $$dJune 13-17, 2010$$cJeju Island, South Korea$$aMetabolic Engineering VIII: Metabolic Engineering for Green Growth
000149894 909C0 $$xU11422$$0252131$$pLCSB
000149894 909CO $$pSB$$pposter$$ooai:infoscience.tind.io:149894
000149894 917Z8 $$x133818
000149894 937__ $$aEPFL-POSTER-149894
000149894 973__ $$sPUBLISHED$$aEPFL
000149894 980__ $$aPOSTER