LEADER 03586nam 22006375 450 001 9910254154403321 005 20200705030038.0 010 $a3-319-64000-3 024 7 $a10.1007/978-3-319-64000-6 035 $a(CKB)3710000001631622 035 $a(MiAaPQ)EBC4978965 035 $a(DE-He213)978-3-319-64000-6 035 $a(PPN)203851579 035 $a(EXLCZ)993710000001631622 100 $a20170816d2017 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 12$aA Network-Based Approach to Cell Metabolism $eFrom Structure to Flux Balances /$fby Oriol Güell 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (151 pages) $cillustrations (some color) 225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 300 $a"Doctoral Thesis accepted by University of Barcelona, Barcelona, Spain." 311 $a3-319-63999-4 320 $aIncludes bibliographical references at the end of each chapters. 327 $aCellular Metabolism at the Systems Level -- Methods and Data -- Structural Knockout Cascades in Metabolic Networks -- E?ects of Reaction Knockouts on Steady States of Metabolism -- Detection of Evolution and Adaptation Fingerprints in Metabolic Networks -- Assessing FBA Optimal States in the Feasible Flux Phenotypic Space -- Conclusions. 330 $aThis thesis uses a systems-level approach to study the cellular metabolism, unveiling new mechanisms and responses that were impossible to reach with traditional reductionists procedures. The results reported here have a potential application in areas like metabolic engineering and disease treatment. They could also be used in determining the accuracy of the gene essentiality of new genome-scale reconstructions. Different methods and techniques, within the contexts of Systems Biology and the field known as Complex Networks Analysis have been applied in this work to show different features of the robustness of metabolic networks. The specific issues addressed here range from pure topological aspec ts of the networks themselves to the balance of biochemical fluxes.    . 410 0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 606 $aBiochemical engineering 606 $aSystems biology 606 $aBiological systems 606 $aChemistry, Physical and theoretical 606 $aBiochemical Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/C12029 606 $aSystems Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/L15010 606 $aSystems Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/P27050 606 $aPhysical Chemistry$3https://scigraph.springernature.com/ontologies/product-market-codes/C21001 615 0$aBiochemical engineering. 615 0$aSystems biology. 615 0$aBiological systems. 615 0$aChemistry, Physical and theoretical. 615 14$aBiochemical Engineering. 615 24$aSystems Biology. 615 24$aSystems Biology. 615 24$aPhysical Chemistry. 676 $a574.8761 700 $aGüell$b Oriol$4aut$4http://id.loc.gov/vocabulary/relators/aut$0767488 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254154403321 996 $aA Network-Based Approach to Cell Metabolism$92281684 997 $aUNINA