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Panama: An Open-Source Educational App for Ion Channel Biophysics Simulation.
Binita Rajbanshi1, Anuj Guruacharya2
1Department of Epileptology, University Hospital Bonn, Bonn, Germany.
Frontiers in Neuroinformatics
|March 31, 2022
Summary
Panama is an open-source R package and web app simulating voltage-gated ion channel biophysics. This educational tool offers interactive, mobile-friendly visualizations for learning complex channel physiology.
Area of Science:
- Neuroscience
- Computational Biology
- Educational Technology
Background:
- Existing software for simulating voltage-gated ion channels often lacks robustness, interactivity, or mobile compatibility.
- There is a need for accessible, user-friendly tools to educate students on ion channel biophysics.
- Current educational software may be overly complex or not suitable for diverse learning environments.
Purpose of the Study:
- To develop and introduce Panama, an open-source educational software for simulating voltage-gated ion channel biophysics.
- To provide an interactive, mobile-friendly, and pedagogically sound tool for learning ion channel function.
- To address the limitations of existing software in terms of usability and educational applicability.
Main Methods:
- Developed an open-source educational software named Panama using the R programming language.
- Implemented simulations for various voltage-gated ion channels including sodium, potassium, and calcium channels.
- Created both an installable R package and a publicly accessible web application for widespread use.
Main Results:
- Panama simulates the biophysics of multiple voltage-gated ion channels under current-clamp and voltage-clamp conditions.
- The software provides instantaneous, downloadable visualizations of simulation outputs directly in the web browser.
- Panama is designed with intuitive, touch-optimized controls, making it mobile-friendly and touchscreen-compatible.
Conclusions:
- Panama offers a novel, first-of-its-kind educational tool for exploring ion channel physiology.
- Its combination of interactive features, mobile accessibility, and pedagogical robustness makes it valuable for neuroscience education.
- The software serves as both a powerful R package for researchers and an accessible web app for students.