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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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Building multiscale models with PhysiBoSS, an agent-based modeling tool.

Marco Ruscone1,2,3, Andrea Checcoli4,5, Randy Heiland6

  • 1Institut Curie, Université PSL, 26 rue d'Ulm, 75005, Paris, France.

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|October 19, 2024
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Summary
This summary is machine-generated.

Multiscale models simulate biological processes across scales. The PhysiBoSS framework, integrated with PhysiCell Studio, simplifies creating these complex computational models for broader scientific accessibility.

Keywords:
Boolean modelingagent-based modelingmultiscale modeling

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Area of Science:

  • Computational Biology
  • Systems Biology
  • Biophysics

Background:

  • Multiscale models analyze complex biological processes across spatial and temporal scales.
  • These models simulate intracellular (e.g., signaling) and extracellular (e.g., cell communication) events.
  • Applications include understanding complex diseases, tissue-immune interactions, and therapeutic strategies.

Purpose of the Study:

  • To simplify the construction of complex multiscale biological models.
  • To introduce the PhysiBoSS framework, an extension of PhysiCell.
  • To demonstrate the use of PhysiCell Studio for easier model development.

Main Methods:

  • Utilized the PhysiBoSS framework, integrating continuous time Boolean models for intracellular processes with agent-based modeling.
  • Employed PhysiCell Studio, a graphical user interface for PhysiCell, to streamline model construction.
  • Developed three example multiscale models using this integrated approach.

Main Results:

  • Demonstrated a simplified workflow for building multiscale biological models.
  • Showcased the integration of intracellular Boolean models with agent-based simulations via PhysiBoSS.
  • Provided accessible tutorials and model repositories for users.

Conclusions:

  • PhysiBoSS and PhysiCell Studio significantly lower the barrier to entry for creating sophisticated multiscale biological models.
  • This approach enhances accessibility for non-experts and efficiency for advanced users.
  • Facilitates broader application of multiscale modeling in biological research and disease study.