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MULTI-FORTE, a microcomputer program for modelling and simulation of pharmacokinetic data.

D W Bourne

    Computer Methods and Programs in Biomedicine
    |December 1, 1986
    PubMed
    Summary
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    MULTI-FORTE enhances non-linear fitting with combined algorithms and improved numerical integration for stiff differential equations. This user-friendly Macintosh program offers flexible model input and versatile output options for scientific data analysis.

    Area of Science:

    • Scientific computing
    • Mathematical modeling
    • Data analysis software

    Background:

    • Existing MULTI programs by Yamaoka et al. provided non-linear fitting capabilities.
    • Previous versions required separate programs for different fitting algorithms and model types.

    Purpose of the Study:

    • To develop an integrated, user-friendly non-linear fitting program for Macintosh computers.
    • To combine the functionalities of previous MULTI programs into a single, efficient software package.
    • To enhance numerical integration capabilities for complex differential equation systems.

    Main Methods:

    • Combined Gauss-Newton and Simplex fitting algorithms.
    • Translated code into FORTRAN 77 for Macintosh.
    • Implemented advanced numerical integration routines, including Fehlberg's 4/5 Runge-Kutta and Gear's DIFSUB.

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  • Supported model description via integrated equations or systems of differential equations.
  • Included Bayesian estimation functionality.

    • Main Results:

    • Developed MULTI-FORTE, an expanded version of the MULTI non-linear fitting programs.
    • Achieved increased speed and convenience through FORTRAN 77 implementation on Macintosh.
    • Enhanced capabilities for handling 'stiff' differential equations.
    • Provided user-friendly data input (keyboard/disk) and output (screen/printer/disk).

    Conclusions:

    • MULTI-FORTE offers a comprehensive and efficient solution for non-linear fitting and data analysis.
    • The program's flexibility in model description and numerical methods makes it suitable for diverse scientific applications.
    • Enhanced numerical integration improves accuracy and stability for complex dynamic systems.