{
  "id": 13384820,
  "title": "AMMPER-2: A spatially explicit agent-based model of microbial radiobiology with redox dye simulation",
  "url": "https://urgent.news/2026/10/10/ammper-2-a-spatially-explicit-agent-based-model-of-microbial",
  "topic": "science",
  "section": "Science",
  "published": "2026-10-10T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.08.757403v1?rss=1"
  },
  "original_language": "en",
  "account": "The development of AMMPER-2, a spatially explicit agent-based model of microbial radiobiology, aims to enhance the understanding of microbial responses to deep-space radiation for human space exploration. Using the budding yeast Saccharomyces cerevisiae as a model organism, AMMPER-2 simulates the effects of ionizing radiation on individual cells and translates those data into population-level outcomes, facilitating experiment design and data interpretation.\n\nThe first version of AMMPER, AMMPER-1, successfully demonstrated the capability of agent-based simulations to qualitatively reproduce the effects of proton radiation on the growth rate of both wild-type and DNA-repair mutant yeast. Building upon the successes and addressing the limitations of its predecessor, AMMPER-2 introduces several improvements. It incorporates the dynamics of the redox dye alamarBlue, a critical data type often generated in spaceflight microbiology experiments. This addition allows for a more detailed modeling of the fate of reactive oxygen species, a key factor in understanding radiation-induced damage.\n\nAdditionally, AMMPER-2 features an improved graphical interface, making it more user-friendly for space biologists. This interface enables them to explore experimental conditions, generate hypotheses, and interpret data from microbial space radiation experiments. Importantly, AMMPER-2 maintains its computational efficiency, running smoothly on a standard personal laptop, ensuring accessibility for researchers without the need for high-performance computing resources.",
  "summary": "To reduce health risks for human space exploration, it is important to model the effects of deep-space radiation on biological systems. The budding yeast Saccharomyces cerevisiae is a common model organism in space radiobiology, but little is known about how radiation damage to individual cells translates into the population-level effects that experiments measure. The Agent-Based Model for…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}