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Calculation of Electric Flux

Calculation of Electric Flux

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Related Experiment Video

Updated: Jan 18, 2026

Finite Element Modelling of a Cellular Electric Microenvironment

Finite Element Modelling of a Cellular Electric Microenvironment

Published on: May 18, 2021

From flux analysis to self contained cellular models.

Andreas Kremling¹

¹Systems Biotechnology, School of Engineering and Design, Technical University of Munich, Munich, Germany.

Frontiers in Systems Biology

|September 8, 2025

Summary

This summary is machine-generated.

This study presents a method to build self-contained kinetic models for cellular systems, moving beyond flux balance analysis. These models incorporate mass conservation and thermodynamic constraints for a more accurate understanding of cellular processes.

Keywords:

coarse-grained models enzyme kinetics flux balance analysis resource allocation thermodynamics

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Last Updated: Jan 18, 2026

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Published on: May 18, 2021

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

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Integrative Toolkit to Analyze Cellular Signals: Forces, Motion, Morphology, and Fluorescence

Integrative Toolkit to Analyze Cellular Signals: Forces, Motion, Morphology, and Fluorescence

Published on: March 5, 2022

Area of Science:

Systems Biology
Computational Biology
Biochemical Engineering

Background:

Mathematical modeling is crucial for understanding complex cellular systems involving metabolism, signaling, and gene expression.
Flux balance analysis (FBA) is a common tool, but requires known input fluxes.

Purpose of the Study:

To develop self-contained kinetic models for cellular systems that do not rely on measured input fluxes.
To illustrate methods for building these models using examples and provided Matlab Live Scripts.

Main Methods:

Transitioning from flux balance analysis to models incorporating kinetics for individual reaction steps.
Developing self-contained models that use environmental component concentrations as input.
Implementing kinetic reaction laws, feedback structures, and protein allocation.

Main Results:

Demonstrated a method for creating self-contained kinetic models.
Highlighted the importance of mass conservation and thermodynamic constraints in model accuracy.
Provided simulation studies and supplementary materials for reproducibility.

Conclusions:

Self-contained kinetic models offer a more comprehensive approach to simulating cellular dynamics compared to traditional FBA.
Accurate modeling requires careful consideration of mass conservation and thermodynamic principles.
The presented framework and tools facilitate the development of robust cellular system models.