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Graphical User Interface (GUI) Implementation for Agent-Based Microbial Radiobiology ModelSending human life past the Low Earth Orbit (LEO) to explore the Moon and Mars will be challenging. The Earth’s magnetic field naturally protects life from deep-space particle radiation such as Galactic Cosmic Rays (GCR) and Solar Particle Events (SPE); these will pose health risks to humans in deep space. Research has been done to investigate these effects, like BioSentinel, the first biological CubeSat to fly beyond the LEO, designed to culture yeast in a microfluidic device and record optical measurements of growth and metabolism. However, experiments can only report cell damage as bulk growth curves, while deep-space radiation causes damage that is heterogeneous among individual cells. AMMPER is an open-source, agent-based, computational model coded in Python to simulate the effects of deep-space radiation on individual yeast cells (Saccharomyces cerevisiae) to facilitate interpretation of biological radiation experiments. Version 1.0 of the code ran in a command line interface (CLI), limiting use to those familiar with modularization, object-oriented programming, and computational models. Here we present a graphical user interface (GUI) for AMMPER to increase its accessibility. GUI development included converting input points and UI files, designing an application and logo, and expanding program packages. Additionally, we added optical assistance that corresponded with simulation parameters, which included simulation type, cell type, ROS model, and radiation dosage, as well as customizable display and file exportation features. Following a pilot testing period, its structure was updated further to enhance abilities, adding increased runs, video visualization, data plotting, and an educational/tutorial component. Future work will include creating a bit installer and runtime environment for AMMPER. Ultimately, the creation of the GUI has two main goals: to facilitate the integration of computational models into the work of researchers in microbial radiobiology, and to act as an interactive and visual resource for space biology education.
Document ID
20230016140
Acquisition Source
Ames Research Center
Document Type
Poster
Authors
Madeline V. Marous
(Intern)
Daniel Palacios
(Baylor College of Medicine Houston, United States)
Jessica A. Lee
(Ames Research Center Mountain View, California, United States)
Date Acquired
November 7, 2023
Subject Category
Life Sciences (General)
Meeting Information
Meeting: Annual Meeting of the American Society for Gravitational and Space Research (ASGSR)
Location: Washington, DC
Country: US
Start Date: November 14, 2023
End Date: November 18, 2023
Sponsors: American Society for Gravitational and Space Research
Funding Number(s)
WBS: 719125.04.01.02.01.02.02
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
Single Expert
Keywords
yeast
radiation
agent-based modeling
computational biology
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