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Computer analysis of enzyme-substrate-inhibitor kinetic data with automatic model selection using IBM-PC compatible

R A Lutz, C Bull, D Rodbard

    Enzyme
    |January 1, 1986
    PubMed
    Summary
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    A new program estimates enzyme kinetics parameters for Michaelis-Menten kinetics and inhibition models. It identifies phenylalanine inhibition of carbamyl-phenylalanine hydrolase as pure mixed noncompetitive.

    Area of Science:

    • Biochemistry
    • Enzyme Kinetics
    • Computational Biology

    Background:

    • Enzyme kinetics are crucial for understanding biological processes.
    • Accurate parameter estimation is vital for studying enzyme inhibition.
    • Existing methods may lack automated model selection capabilities.

    Purpose of the Study:

    • To describe a novel weighted nonlinear least-squares curve-fitting program for enzyme kinetics.
    • To enable automated selection of the most plausible enzyme inhibition model.
    • To estimate kinetic parameters, including maximal velocity (Vm) and Michaelis-Menten constant (Km).

    Main Methods:

    • Implementation of a compiled BASIC program for IBM-PC.
    • Utilizes weighted nonlinear least-squares curve-fitting.

    Related Experiment Videos

  • Analyzes effects of inhibitors on Vm and Km for model selection.

    • Main Results:

    • The program successfully estimates parameters for Michaelis-Menten kinetics and seven inhibition models.
    • Automated model selection based on inhibitor effects on Vm and Km is demonstrated.
    • Inhibition of carbamyl-phenylalanine hydrolase by phenylalanine is identified as pure mixed noncompetitive.

    Conclusions:

    • The developed program provides an efficient tool for enzyme kinetics analysis.
    • It facilitates accurate identification of enzyme inhibition mechanisms.
    • The findings confirm phenylalanine's inhibition of carbamyl-phenylalanine hydrolase follows a specific noncompetitive model.