Search results for "Michaelis-Menten"

showing 3 items of 3 documents

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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Lesson 7: Enzymatic kinetics

2022

Este documento ha sido revisado por el Servicio de política Linguística. Su labor ha sido muy importante para la correción del documento. Este documento contiene un pdf con las diapositivas utilizadas en el tema 7 de los alumnos de primero del Grado de Medicina, dentro de la asignatura Bioquímica y Biología Molecular. Se describen los conceptos de cinética enzimática y la ecuación de Michaelis Menten. También se describe el fenómeno de cooperatividad y el alosterismo enzimático. This document contains a pdf doc with the slides used in lesson 7 for first-year students of the Medicine Degree, within the Biochemistry and Molecular Biology subject. This lesson describes the concepts of enzyme k…

cooperatividadalosterismobioquímicaUNESCO::CIENCIAS MÉDICASenzimologíaMichaelis-Menten
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Species–area relationships in continuous vegetation: Evidence from Palaearctic grasslands

2019

Aim Species-area relationships (SARs) are fundamental scaling laws in ecology although their shape is still disputed. At larger areas, power laws best represent SARs. Yet, it remains unclear whether SARs follow other shapes at finer spatial grains in continuous vegetation. We asked which function describes SARs best at small grains and explored how sampling methodology or the environment influence SAR shape. Location Palaearctic grasslands and other non-forested habitats. Taxa Vascular plants, bryophytes and lichens. Methods We used the GrassPlot database, containing standardized vegetation-plot data from vascular plants, bryophytes and lichens spanning a wide range of grassland types throu…

curvesshapesspecies– area relationship (SAR)Michaelis–Menten functionBiomeGrasslandVegetation typelogarithmic functionTaxonomic rankLichenNested‐plot Samplinggeography.geographical_feature_categorypower lawEcologyVDP::Landbruks- og Fiskerifag: 900biologyEcologySettore BIO/02 - Botanica SistematicaPalaearctic grasslandspecies-area relationship (SAR)Grasslandddc:nonlinear regressionscale dependenceMichaelis–Menten Functionlogarithmic function; Michaelis–Menten function; minimal area; nested-plot sampling; nonlinear regression; Palaearctic grassland; plant biodiversity; power law; scaling law; species–area relationship (SAR)environmentnested‐plot sampling570Evolutionscaling lawSpecies-area relationshipminimal areadiversityspecies–area relationship (SAR)Behavior and Systematicsspecies- area relationship (SAR)ddc:570577: Ökologienested-plot samplingEcology Evolution Behavior and Systematics580geographymodelfungiBiology and Life Sciences500Species diversityPlant communitySpecies–area Relationship (SAR)Earth and Environmental SciencesMichaelis-Menten functionplant biodiversitySpecies richnessrichness
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