Search results for "GLYCOLYTIC ENZYME"

showing 3 items of 3 documents

Myc Promoter-Binding Protein-1 (MBP-1) Is a Novel Potential Prognostic Marker in Invasive Ductal Breast Carcinoma

2010

BackgroundAlpha-enolase is a glycolytic enzyme that catalyses the formation of phosphoenolpyruvate in the cell cytoplasm. α-Enolase and the predominantly nuclear Myc promoter-binding protein-1 (MBP-1) originate from a single gene through the alternative use of translational starting sites. MBP-1 binds to the P2 c-myc promoter and competes with TATA-box binding protein (TBP) to suppress gene transcription. Although several studies have shown an antiproliferative effect of MBP-1 overexpression on several human cancer cells, to date detailed observations of α-enolase and MBP-1 relative expression in primary tumors versus normal tissues and their correlation with clinicopathological features ha…

CytoplasmAlpha-enolasePROGRESSIONAged 80 and overRegulation of gene expressionMultidisciplinaryQRGenetics and Genomics/Gene ExpressionMiddle AgedPrognosisPathology/Molecular PathologyNUDE-MICETransport proteinCarcinoma DuctalDNA-Binding ProteinsGene Expression Regulation NeoplasticProtein Transportmedicine.anatomical_structureGLYCOLYTIC ENZYMEOncology/Breast CancerMedicineCELL LUNG-CANCER; ALPHA-ENOLASE; PROTEOMIC ANALYSIS; GLYCOLYTIC ENZYME; NUDE-MICE; GENE; IDENTIFICATION; PROGRESSION; EXPRESSION; METASTASESFemalePROTEOMIC ANALYSISEnolase MBP-1 Breast cancer ImmunohistochemistryResearch ArticleAdultEXPRESSIONScienceCELL LUNG-CANCERBreast NeoplasmsBiologyDNA-binding proteinBiomarkers TumormedicineHumansNeoplasm InvasivenessGeneAgedCell NucleusIDENTIFICATIONBinding proteinALPHA-ENOLASEGENEMolecular biologySettore BIO/18 - GeneticaCell nucleusMETASTASESCytoplasmPhosphopyruvate Hydratasebiology.proteinPLoS ONE
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Relationships between metabolic fluxes and enzyme amino acid composition

2013

AbstractMetabolic fluxes are a key parameter of metabolic pathways being closely related to the kinetic properties of enzymes and could be conditional on their sequence characteristics. This study examines possible relationships between the metabolic fluxes and the amino acid (AA) composition (AAC) for enzymes from the yeast Saccharomyces cerevisiae glycolysis pathway. Metabolic fluxes were quantified by the COPASI tool using the kinetic models of Hynne and Teusink at 25 mM, 50 mM, and 100 mM of external glucose or employing literature data for cognate kinetic or stoichiometric models. The enzyme sequences were taken from the UniProtKB, and the AAC computed by the ExPASy/ProtParam tool. Mul…

chemistry.chemical_classificationGeneral Immunology and MicrobiologyQH301-705.5General NeuroscienceSaccharomyces cerevisiaeExPASyBiologybiology.organism_classificationGeneral Biochemistry Genetics and Molecular BiologyYeastAmino acidMetabolic pathwayEnzymechemistryBiochemistrymultivariate relationshipssaccharomyces cerevisiaeGlycolysisComposition (visual arts)Biology (General)glycolytic enzymesamino acid compositionGeneral Agricultural and Biological Sciencesmetabolic fluxesOpen Life Sciences
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Relationships between kinetic constants and the amino acid composition of enzymes from the yeast Saccharomyces cerevisiae glycolysis pathway

2012

The kinetic models of metabolic pathways represent a system of biochemical reactions in terms of metabolic fluxes and enzyme kinetics. Therefore, the apparent differences of metabolic fluxes might reflect distinctive kinetic characteristics, as well as sequence-dependent properties of the employed enzymes. This study aims to examine possible linkages between kinetic constants and the amino acid (AA) composition (AAC) for enzymes from the yeast Saccharomyces cerevisiae glycolytic pathway. The values of Michaelis-Menten constant (K M), turnover number (k cat), and specificity constant (k sp = k cat/K M) were taken from BRENDA (15, 17, and 16 values, respectively) and protein sequences of nine…

chemistry.chemical_classificationSpecificity constantbiologyResearchSaccharomyces cerevisiaeMichaelis-Menten constantTurnover numberbiology.organism_classificationMichaelis–Menten kineticsGeneral Biochemistry Genetics and Molecular BiologyYeastComputer Science ApplicationsAmino acidSequence-dependent propertiesComputational MathematicsMetabolic pathwayEnzymechemistryBiochemistryGlycolytic enzymesMultivariate relationshipsEnzyme kineticsSpecificity constantEURASIP Journal on Bioinformatics and Systems Biology
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