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Journal Abstract Search

100 related items for PubMed ID: 18595055

  • 1.
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  • 2. Validity of the Michaelis-Menten equation--steady-state or reactant stationary assumption: that is the question.
    Schnell S.
    FEBS J; 2014 Jan; 281(2):464-72. PubMed ID: 24245583
    [Abstract] [Full Text] [Related]

  • 3. Exact and approximate solutions for the decades-old Michaelis-Menten equation: Progress-curve analysis through integrated rate equations.
    Goličnik M.
    Biochem Mol Biol Educ; 2011 Jan; 39(2):117-25. PubMed ID: 21445903
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  • 5. Surfactant solutions and porous substrates: spreading and imbibition.
    Starov VM.
    Adv Colloid Interface Sci; 2004 Nov 29; 111(1-2):3-27. PubMed ID: 15571660
    [Abstract] [Full Text] [Related]

  • 6. A new graphical method for determining parameters in Michaelis-Menten-type kinetics for enzymatic lactose hydrolysis.
    Yang ST, Okos MR.
    Biotechnol Bioeng; 1989 Sep 29; 34(6):763-73. PubMed ID: 18588163
    [Abstract] [Full Text] [Related]

  • 7. Explicit analytic approximations for time-dependent solutions of the generalized integrated Michaelis-Menten equation.
    Goličnik M.
    Anal Biochem; 2011 Apr 15; 411(2):303-5. PubMed ID: 21241654
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  • 9. Validity of quasi-steady-state and transfer-function representations for input-output relation in a Michaelis-Menten reaction.
    Sakamoto N.
    Biotechnol Bioeng; 1986 Aug 15; 28(8):1191-9. PubMed ID: 18555445
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  • 11. Optimal designs for Michaelis-Menten kinetic studies.
    Matthews JN, Allcock GC.
    Stat Med; 2004 Feb 15; 23(3):477-91. PubMed ID: 14748040
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  • 13. Kinlsq: a program for fitting kinetics data with numerically integrated rate equations and its application to the analysis of slow, tight-binding inhibition data.
    Gutheil WG, Kettner CA, Bachovchin WW.
    Anal Biochem; 1994 Nov 15; 223(1):13-20. PubMed ID: 7695087
    [Abstract] [Full Text] [Related]

  • 14. The comparison of the estimation of enzyme kinetic parameters by fitting reaction curve to the integrated Michaelis-Menten rate equations of different predictor variables.
    Liao F, Zhu XY, Wang YM, Zuo YP.
    J Biochem Biophys Methods; 2005 Jan 31; 62(1):13-24. PubMed ID: 15656940
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  • 15. Quasi-steady-state kinetics at enzyme and substrate concentrations in excess of the Michaelis-Menten constant.
    Rami Tzafriri A, Edelman ER.
    J Theor Biol; 2007 Apr 21; 245(4):737-48. PubMed ID: 17234216
    [Abstract] [Full Text] [Related]

  • 16. Kinetic modelling of the photocatalytic inactivation of bacteria.
    Marugán J, van Grieken R, Cassano AE, Alfano OM.
    Water Sci Technol; 2010 Apr 21; 61(6):1547-53. PubMed ID: 20351434
    [Abstract] [Full Text] [Related]

  • 17. A practical kinetic model that considers endproduct inhibition in anaerobic digestion processes by including the equilibrium constant.
    Hoh CY, Cord-Ruwisch R.
    Biotechnol Bioeng; 1996 Sep 05; 51(5):597-604. PubMed ID: 18629824
    [Abstract] [Full Text] [Related]

  • 18. Measurements of kinetic parameters in a microfluidic reactor.
    Kerby MB, Legge RS, Tripathi A.
    Anal Chem; 2006 Dec 15; 78(24):8273-80. PubMed ID: 17165816
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  • 19. Off-line form of the Michaelis-Menten equation for studying the reaction kinetics in a polymer microchip integrated with enzyme microreactor.
    Liu AL, Zhou T, He FY, Xu JJ, Lu Y, Chen HY, Xia XH.
    Lab Chip; 2006 Jun 15; 6(6):811-8. PubMed ID: 16738735
    [Abstract] [Full Text] [Related]

  • 20. Accurate kinetic parameter estimation during progress curve analysis of systems with endogenous substrate production.
    Goudar CT.
    Biotechnol Bioeng; 2011 Oct 15; 108(10):2499-503. PubMed ID: 21520020
    [Abstract] [Full Text] [Related]

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