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JSim, an open-source modeling system for data analysis.

Erik Butterworth1, Bartholomew E Jardine1, Gary M Raymond1

  • 1Dept. of Bioengineering, University of Washington, Seattle, WA 98195, USA.

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JSim is an open-source simulation system for physiological and pharmacological modeling. It facilitates hypothesis testing, model comparison, and reproducible analysis with features like MML, unit checking, and batch processing.

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Area of Science:

  • Computational Biology
  • Physiological Modeling
  • Pharmacological Systems Analysis

Background:

  • Developing and evaluating complex physiological and pharmacological models requires robust simulation systems.
  • Existing tools may lack integrated features for interactive manipulation, multi-dataset analysis, and direct comparison of different models.
  • Reproducibility in computational modeling is crucial for scientific validation and advancement.

Purpose of the Study:

  • To introduce JSim, a versatile simulation system designed for the development, analysis, and hypothesis testing of physiological and pharmacological models.
  • To highlight JSim's capabilities for interactive and iterative model manipulation, handling diverse datasets and parameter sets.
  • To showcase JSim's features supporting model comparison, automated unit checking, and reproducible project file management.

Main Methods:

  • Utilizes Mathematical Modeling Language (MML) for declarative specification of algebraic and differential equations, with support for external code integration.
  • Incorporates a suite of graphical user interfaces for model editing, diagnostics, experiment design, and analysis.
  • Supports parameter optimization, sensitivity analysis, Monte Carlo simulations, and automatic translation of Systems Biology Markup Language (SBML) and CellML models.
  • Implements automated unit checking and scaling for physical units to ensure dimensional consistency.

Main Results:

  • JSim provides an integrated environment for interactive and iterative model development and analysis.
  • The system supports simultaneous or separate comparisons of multiple models and parameter sets.
  • JSim facilitates reproducible research through its Project File structure, consolidating all analysis components.
  • Open-source availability and a repository of pre-built models enhance accessibility and adoption.

Conclusions:

  • JSim offers a powerful, flexible, and user-friendly platform for physiological and pharmacological modeling research and education.
  • Its comprehensive features, including MML, extensive GUIs, and support for various analysis techniques, streamline the modeling workflow.
  • The emphasis on reproducibility and open-source accessibility positions JSim as a valuable tool for the scientific community.