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1、CHAPTER12AnalysisofStructureofMetabolicNetworksInthepreviouschapter,wereviewedthebasicconceptsofMetabolicControlAnalysisandmethodsforthedeterminationofitskeyparameters.ItwasnotedtherethattheframeworkofMCAprovidesthemeansofquantify-ingthedegreeofcontrolexertedbyeachindividualreactionstepina
2、metabolicnetworkuponeachnetworkfluxandmetabolite,intheformofcontrolcoefficients.Ineffect,controlcoefficientsprovideacharacterizationoftheeffectsresultingfromtheperturbationofaparticularreaction,sothattheeffectsofotherperturbationsinthatsamestepcanbepredicted.ThemethodspresentedinChapter11p
3、ermitthedeterminationofcontrolcoefficientsandotherMCAparametersfromfluxestimates,evenafterlargeperturbationsinthekineticsofthenetwork.Chapters8-10providedacomprehensiveapproachtotheestimationoffluxesrequiredforthesecalculations,baseduponmetabolitebalances,reactionstoichiometries,andisotopi
4、clabels.535536MetabolicEngineeringInthischapterweturntothechallengingtaskofanalyzingfluxcontrolinmorecomplexnetworksthanthesimpleunbranchedorbranchedpathwaysdiscussedinChapter11.Wedefineacomplexmetabolicnetworkasasystemconsistingofmanyenzymaticreactionsproducinganddepletingmetabolitesandin
5、teractingwithoneanotherthroughcommonprecursors,products,oreffectors.Suchnetworksprocessexternalsubstratesthroughaseriesofreactionswhichultimatelyproduceoneormoredesirableproducts,oftenincompetitionwithunwantedbyproducts.Anexample,whichwillbeusedasacasestudythroughoutthisandthefollowingchap
6、ter,isthearomaticaminoacidbiosyntheticpathway(Fig.12.1).Withtheuseofamodelforthenetworkreactionkinetics(StephanopoulosandSimpson,1997),wewillillustratethemethodsallowingexperimentalelucidationofthecontrolstructureofthisnetwork,oranysimilarlycomplexsystem.Theobjectivesofthisandthefollowingc
7、hapteraretoprovidegeneralandsystematicmethodsfor9definingtheintrinsicstructureofanetwork,intermsofidentifiablebranchpoints,baseduponthesystem'sstoichiometry;9analyzingthekineticbehaviorofcomplexmetabolicnetworksintermsofMCAparameters;9identifyingcriticalrea