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INTRAV and ORAL: BASIC interactive computer programs for estimating pharmacokinetic parameters.

J L Valentine, S Hunter

    Journal of Pharmaceutical Sciences
    |February 1, 1985
    PubMed
    Summary
    This summary is machine-generated.

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    Two new computer programs, INTRAV and ORAL, enable pharmacokinetic modeling of experimental drug data. These programs provide accurate estimates comparable to established software, aiding in drug development research.

    Area of Science:

    • Pharmacokinetics
    • Computational Biology
    • Biotechnology

    Background:

    • Pharmacokinetic modeling is crucial for understanding drug behavior in the body.
    • Existing software for pharmacokinetic analysis can be complex or inaccessible.
    • Development of user-friendly tools is needed for efficient data analysis.

    Purpose of the Study:

    • To introduce two interactive computer programs, INTRAV and ORAL, for pharmacokinetic modeling.
    • To enable accurate estimation of pharmacokinetic parameters from experimental data.
    • To provide a user-friendly interface for analyzing drug concentration-time data.

    Main Methods:

    • Development of INTRAV and ORAL programs using BASIC language on a microcomputer with graphics.
    • Input of drug concentration-time data (intravenous, oral, intramuscular).

    Related Experiment Videos

  • Utilizing a movable cursor for segment selection, differential equation computation, and nonlinear curve fitting.
  • Main Results:

    • INTRAV and ORAL generated pharmacokinetic estimates nearly identical to CSTRIP and ESTRIP.
    • Estimates from INTRAV and ORAL were highly similar to those from NONLIN.
    • The programs offer statistical tests and graphic output for data comparison and validation.

    Conclusions:

    • INTRAV and ORAL are effective tools for pharmacokinetic modeling and parameter estimation.
    • These programs offer a viable and accurate alternative to existing pharmacokinetic software.
    • The user-friendly design and graphic capabilities enhance their utility in research settings.