Interactive, Visual Simulation of a Spatio-Temporal Model of Gas Exchange in the Human Alveolus.

Front Bioinform

Supramolecular and Cellular Simulations, Center for Computational and Theoretical Biology, Faculty of Biology, University of Würzburg, Würzburg, Germany.

Published: January 2022

AI Article Synopsis

  • Effective communication between experimentalists and theorists is essential in interdisciplinary fields like systems biology for successful project outcomes.
  • The development of an interactive simulation software enhances understanding of complex theoretical models in physiology, specifically in gas exchange in the human alveolus, by offering detailed visual and quantitative feedback.
  • The software not only helps identify unknown dependencies in experimental data but also benefits education, facilitating better communication among specialists and advancing research efficiency.

Article Abstract

In interdisciplinary fields such as systems biology, good communication between experimentalists and theorists is crucial for the success of a project. Theoretical modeling in physiology usually describes complex systems with many interdependencies. On one hand, these models have to be grounded on experimental data. On the other hand, experimenters must be able to understand the interdependent complexities of the theoretical model in order to interpret the model's results in the physiological context. We promote interactive, visual simulations as an engaging way to present theoretical models in physiology and to make complex processes tangible. Based on a requirements analysis, we developed a new model for gas exchange in the human alveolus in combination with an interactive simulation software named . exceeds the current standard with its spatio-temporal resolution and a combination of visual and quantitative feedback. In , the course of the simulation can be traced in a three-dimensional rendering of an alveolus and dynamic plots. The user can interact by configuring essential model parameters. allows to run and compare multiple simulation instances simultaneously. We exemplified the use of for research by identifying unknown dependencies in published experimental data. Employing a detailed questionnaire, we showed the benefits of for education. We postulate that interactive, visual simulation of theoretical models, as we have implemented with on respiratory processes in the alveolus, can be of great help for communication between specialists and thereby advancing research.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580865PMC
http://dx.doi.org/10.3389/fbinf.2021.774300DOI Listing

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