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Related Experiment Video

Updated: Feb 26, 2026

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Semi-automated Modular Program Constructor for physiological modeling: Building cell and organ models.

Bartholomew Jardine1, Gary M Raymond1, James B Bassingthwaighte1

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

F1000Research
|July 18, 2017
PubMed
Summary
This summary is machine-generated.

The Modular Program Constructor (MPC) simplifies complex physiological modeling by automatically generating code from existing modules. This open-source Java tool accelerates multi-scale model development and hypothesis testing.

Keywords:
JSimmulti-scale modelingphysiological modelingreproducibilitysystems biologyuncertainty quantification

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Area of Science:

  • Computational Biology
  • Systems Biology
  • Physiological Modeling

Background:

  • Developing complex physiological models is time-consuming due to the myriad simultaneous processes in biological systems.
  • Manual model combination is error-prone and inefficient, hindering rapid hypothesis testing and multi-scale research.

Purpose of the Study:

  • To introduce the Modular Program Constructor (MPC), an open-source Java utility designed to streamline the construction of complex physiological models.
  • To provide a method for rapidly assembling and testing multi-scale models by automating code generation from modular components.

Main Methods:

  • MPC utilizes JSim's Mathematical Modeling Language (MML) and embedded directives to construct larger models from smaller, existing ones.
  • Code-generating algorithms within MPC take input from multiple models to produce new JSim-compatible model code.
  • The system encodes and preserves module relationships, facilitating easy updates and substitutions for hypothesis testing.

Main Results:

  • MPC significantly reduces the time and errors associated with building complex physiological models.
  • The tool enables efficient multi-scale model development, allowing for rapid configuration and testing of numerous variants.
  • Preservation of module information supports iterative refinement and hypothesis-driven model modification.

Conclusions:

  • MPC offers a powerful, open-source solution for accelerating physiological model development and multi-scale research.
  • The utility enhances the efficiency and accuracy of creating complex biological simulations by automating model assembly.
  • MPC facilitates hypothesis testing by enabling quick module substitution and model variant management.