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Related Experiment Video

Updated: Jun 26, 2026

Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology

Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology

Published on: April 18, 2018

Facilitating modularity and reuse: guidelines for structuring CellML 1.1 models by isolating common biophysical

S M Wimalaratne¹, M D B Halstead, C M Lloyd

¹Auckland Bioengineering Institute, University of Auckland, Auckland Mail Centre, Private Bag 92019, Auckland 1142, New Zealand. sarala.dissanayake@auckland.ac.nz

Experimental Physiology

|January 20, 2009

Summary

We propose a modular approach to building CellML models for biological processes. This method enhances model reusability, consistency, and understanding by isolating common biophysical concepts.

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Finite Element Modelling of a Cellular Electric Microenvironment

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Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology

Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology

Published on: April 18, 2018

Finite Element Modelling of a Cellular Electric Microenvironment

Finite Element Modelling of a Cellular Electric Microenvironment

Published on: May 18, 2021

Area of Science:

Computational Biology
Biophysics

Background:

CellML is a high-level language for mathematical models of biological processes.
Flexible CellML structure allows diverse modeling styles, but can lead to complex, hard-to-reuse models.

Purpose of the Study:

Advocate for building CellML models that isolate common biophysical concepts.
Promote a close correspondence between CellML models and underlying biological processes.

Main Methods:

Develop modular CellML models by isolating fundamental biophysical concepts.
Construct complex biological process models by reusing modular components.

Main Results:

Improved understandability and interpretability of CellML models.
Enhanced extensibility and reusability of biological process models.

Conclusions:

Modular CellML model development facilitates creation of complex biological simulations.
This approach reduces the need for coding models from scratch, improving efficiency.