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Microcomputer based pharmacokinetic programs for calculating absorption rate.

K K Chan, K Wnuck

    Computer Programs in Biomedicine
    |February 1, 1983
    PubMed
    Summary
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    A new microcomputer software package aids in evaluating in vivo absorption rates using pharmacokinetic methods. This flexible, user-friendly tool includes programs for data management and various calculation techniques.

    Area of Science:

    • Pharmacokinetics
    • Computational Biology
    • Drug Development

    Background:

    • Accurate evaluation of in vivo absorption rate is crucial for drug development and pharmacokinetic studies.
    • Existing computational tools may lack flexibility or user-friendliness for novice researchers.

    Purpose of the Study:

    • To develop and present a comprehensive, microcomputer-based software package for pharmacokinetic analysis.
    • To provide researchers with an interactive and flexible tool for assessing in vivo absorption rates.

    Main Methods:

    • Development of a software package comprising five distinct programs: TEXT FILE, WN12GT (Wagner-Nelson), LOO (Loo-Riegelman), DECON (deconvolution), and MODMOMT (method of statistical moments).
    • Implementation of a modular design for ease of modification, maintenance, and integration of new calculation methods.

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  • Testing of all programs using data from established pharmacokinetic literature and original research.

    • Main Results:

    • Successful development of an interactive and flexible microcomputer program package.
    • Validation of the included pharmacokinetic programs (Wagner-Nelson, Loo-Riegelman, deconvolution, statistical moments) against standard data.
    • Demonstration of the software's utility for novice users due to its user-friendly interface.

    Conclusions:

    • The developed software package offers a valuable, accessible tool for pharmacokinetic analysis of in vivo absorption.
    • Its modular design ensures adaptability and potential for future expansion with new analytical methods.
    • This computational resource can enhance the efficiency and accuracy of pharmacokinetic research.