代谢网络通量和结构分析--硕士(3)

时间:2025-02-26

代谢网络通量和结构分析

——。查垄蓬羔杰妻堡生堂燕篓兰

Network—basedMetabolicFluxandStructureAnalysis

Abstract

lthasbeenrecognizedthatthebiologicfunctionisnotoillyinvolved濂asinglemetabolitebutalsothemultipleinteractionofmanymetabolites.Therefore,asystemviewpointshouldbetakenaccounttoanalyzethebiologiea}network。Nowadays,thou曲thetopologicalstructuresofthecentralmetabolicnetwo矗Sofcertainorganismhavebeenclarified.titeirmetaboliefluxdistributionsremainunclear.Moreover,solneresearchesshouldbetakenintodeepinvestigationespeciallyonthegene-knockoutmutant+ThatthefluxdistributionsoflargescalemetabolicnetworkhavebeenanalyzedbyvailOUStargetfunctionsisalSOourconcern,sincewhichmaycause{nconsistentresults.Anotherpurposeof也isworkist0illustratetherelationshipbetweengenotypeandphenotypeinthecom4,lexcellularneYgvorkofsaccharomycescerevisiae.Themainresultsaresunamarizedasfollows:

onl强eE。collcentralcarbonmetabolicnetworkisstudledfirstly,Based

ofFInxBalanteAnalysis(FBA)andMinimization

modelswereconstructedtocomputeMetabolicAdjustment(MOMA),somemathematicalthecarbondistributionsinthegene.knockoutmutant

analysisshowsthatthe

ofmutanttometaboticnetwork.Comparedwiththeexperimentalresults,thenormalizedMoMAanalysisisI_easonablesolvethecarbondistribution

metabolicnetwork

2.As8strncture-orientedmethod、Elementaryfluxmode(EFM)analysishasobtained{ts

oftherobustnessofthecentralmetabolism,aswellaspopul蕊钾inanalysis

ofsome

deletionpheno£ypenetworkfunctionorganisms.However,thismethodhasnOtbeenwidelyusedinmodelingofgeneByenumeratingallthemetabolicpathways,the

thefunctionalfeaturesEFManalysispmsenmdhereinhasidentifiedandpredictedthegrowthphenotypeofthe

ofEFMS.cerevisiae,AscomparedwiththeFBA,the

FBAjnpredictionofgenedetetiOnperformanceanalysisWaSsuperiortophenotype,EFManalysishasbeendemonstratedas寰挂effectivetooltobridgethegapbetweenmetabolicnetwork

3;Control—effective

representingthefluxesofandgrowthphenotype.ofEFM.importance

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