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Multiscale Structures Aggregated by Imprinted Nanofibers for Functional Surfaces
Published on: September 11, 2018
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Meeting the multiscale challenge: representing physiology processes over ApiNATOMY circuits using bond graphs.
B de Bono1, S Safaei1, P Grenon2
1Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Interface Focus
|December 30, 2017
Summary
This study applies bond graph modeling to ApiNATOMY, enhancing the representation of biophysical processes within biological compartments. This approach integrates multiscale physiology and compartmental topology for clearer visualization and analysis.
Area of Science:
- Computational Biology
- Physiology Modeling
- Systems Biology
Background:
- Representing complex physiological processes across multiple scales remains a challenge.
- Integrating diverse biophysical processes within biological structures requires robust modeling frameworks.
Purpose of the Study:
- To introduce and demonstrate the application of bond graph formalism within the ApiNATOMY framework.
- To model acid-base physiology scenarios, linking distinct process modalities.
- To provide a semantically and mathematically explicit basis for multiscale physiology representation.
Main Methods:
- Utilizing the bond graph formalism to explicitly represent biophysical processes.
- Embedding bond graphs onto ApiNATOMY compartments.
- Focusing on modeling scenarios from acid-base physiology.
Main Results:
- Demonstrated successful application of bond graphs for representing inter- and intra-compartmental biophysical processes.
- Linked distinct process modalities using bond graphs within an ApiNATOMY circuit.
- Established a coherent basis for representing multiscale physiology and compartmental topology.
Conclusions:
- Bond graph formalism integrated with ApiNATOMY offers a powerful approach for modeling multiscale physiological systems.
- This method enhances the semantic and mathematical explicitness of physiological process representation.
- The approach facilitates coherent integration and visualization of complex biological systems.
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