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A program package for simulation and parameter estimation in pharmacokinetic systems

D Z D'Argenio, A Schumitzky

    Computer Programs in Biomedicine
    |March 1, 1979
    PubMed
    Summary
    This summary is machine-generated.

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    This study introduces software for pharmacokinetic model simulation and parameter estimation. The programs handle complex models and various dosing regimens, aiding in drug development research.

    Area of Science:

    • Pharmacokinetics
    • Computational Biology
    • Mathematical Modeling

    Background:

    • Pharmacokinetic (PK) models are essential for understanding drug behavior in the body.
    • Accurate parameter estimation and simulation are crucial for drug development and clinical applications.
    • Existing software may have limitations in handling complex PK models and diverse dosing regimens.

    Purpose of the Study:

    • To present a suite of programs designed for parameter estimation and simulation of pharmacokinetic models.
    • To offer a flexible tool capable of handling linear and nonlinear models with multiple inputs and outputs.
    • To facilitate the analysis of non-uniform repetitive dosage regimens and integrated model forms.

    Main Methods:

    • Utilizes a variable-step, variable-order integration routine for solving model differential equations.

    Related Experiment Videos

  • Employs the Nelder-Mead simplex procedure for parameter estimation by minimizing a weighted least squares criterion.
  • Designed for an interactive time-sharing environment, storing experimental data and model equations in files.

    • Main Results:

    • The developed programs accommodate complex pharmacokinetic models, including linear and nonlinear types.
    • Successfully handles multiple inputs, multiple outputs, and non-uniform repetitive dosage regimens.
    • Provides a robust method for parameter estimation using a weighted least squares criterion.

    Conclusions:

    • The presented software offers a comprehensive solution for pharmacokinetic model simulation and parameter estimation.
    • The programs enhance the analysis of complex dosing regimens and model structures.
    • This tool supports efficient and flexible pharmacokinetic research in an interactive computing environment.