Literature DB >> 4778274

The reliability of Michaelis constants and maximum velocities estimated by using the integrated Michaelis-Menten equation.

G L Atkins, I A Nimmo.   

Abstract

1. Experimental progress curves were simulated for a reaction obeying Michaelis-Menten kinetics. 2. K(m) and V were estimated (a) by fitting the integrated Michaelis-Menten equation to the progress curves, and (b) from the initial slopes of the curves (i.e. from initial velocities). 3. The integrated equation could not be fitted successfully by a non-linear method, so it was transformed and fitted by a linear method. 4. Provided that the initial substrate concentration was greater than K(m) and the data were precise enough, the integrated equation gave parameter estimates which were unbiased and as reliable as those derived from initial velocities although based on fewer experiments. 5. The integrated equation could be used for progress curves of unknown origin.

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Year:  1973        PMID: 4778274      PMCID: PMC1165894          DOI: 10.1042/bj1350779

Source DB:  PubMed          Journal:  Biochem J        ISSN: 0264-6021            Impact factor:   3.857


  7 in total

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3.  The mechanism of the permeation of cells by non-electrolytes.

Authors:  R B Fisher; I A Nimmo
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4.  A simple digital-computer program for estimating the parameters of the hill equation.

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5.  A versatile digital computer program for non-linear regression analysis.

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Journal:  Biochim Biophys Acta       Date:  1971-12-21

6.  Use of integrated rate equations in estimating the kinetic constants of enzyme-catalyzed reactions.

Authors:  G W Schwert
Journal:  J Biol Chem       Date:  1969-03-10       Impact factor: 5.157

7.  Fitting the rectangular hyperbola.

Authors:  C I Bliss; A T James
Journal:  Biometrics       Date:  1966-09       Impact factor: 2.571

  7 in total
  22 in total

1.  The use of the direct linear plot for determining initial velocities.

Authors:  A Cornish-Bowden
Journal:  Biochem J       Date:  1975-08       Impact factor: 3.857

2.  Kinetics of mixed microbial assemblages enhance removal of highly dilute organic substrates.

Authors:  D L Lewis; R E Hodson; H M Hwang
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3.  Simultaneous estimation ofV max, K m, and the rate of endogenous substrate production (R) from substrate depletion data.

Authors:  J A Robinson; W G Characklis
Journal:  Microb Ecol       Date:  1984-06       Impact factor: 4.552

4.  Progress-curve equations for reversible enzyme-catalysed reactions inhibited by tight-binding inhibitors.

Authors:  S E Szedlacsek; V Ostafe; R G Duggleby; M Serban; M O Vlad
Journal:  Biochem J       Date:  1990-02-01       Impact factor: 3.857

5.  Multiphasic kinetics for transformation of methyl parathion by flavobacterium species.

Authors:  D L Lewis; R E Hodson; L F Freeman
Journal:  Appl Environ Microbiol       Date:  1985-09       Impact factor: 4.792

6.  A single-parameter family of adjustments for fitting enzyme kinetic models to progress-curve data.

Authors:  R G Duggleby; J C Nash
Journal:  Biochem J       Date:  1989-01-01       Impact factor: 3.857

7.  Assimilation of alpha-glutamyl-peptides by human erythrocytes. A possible means of glutamate supply for glutathione synthesis.

Authors:  G F King; P W Kuchel
Journal:  Biochem J       Date:  1985-05-01       Impact factor: 3.857

8.  Catalytic and ligand binding properties of bovine trypsinogen and its complex with the effector dipeptide Ile-Val. A comparative study.

Authors:  E Antonini; P Ascenzi; M Bolognesi; M Guarneri; E Menegatti; G Amiconi
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9.  Interspecies acetate transfer influences the extent of anaerobic benzoate degradation by syntrophic consortia.

Authors:  V Warikoo; M J McInerney; J A Robinson; J M Suflita
Journal:  Appl Environ Microbiol       Date:  1996-01       Impact factor: 4.792

10.  Catalytic properties of porcine pancreatic elastase: a steady-state and pre-steady-state study.

Authors:  P Ascenzi; E Menegatti; M Guarneri; E Antonini
Journal:  Mol Cell Biochem       Date:  1983       Impact factor: 3.396

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