{
  "id": 4345,
  "url": "https://arxiv.org/abs/2605.14442v1",
  "title": "GGBound: A Genome-Grounded Agent for Microbial Life-Boundary Prediction",
  "summary": "Characterizing the physiological life boundaries of microbial strains, including viable temperature, pH, salinity, substrate utilization, and morphology, is central to biotechnology and ecology, yet traditionally requires exhaustive in vitro screening. Existing computational approaches either treat physiological traits as isolated supervised targets or repurpose biological foundation models as static encoders, leaving the genotype-to-physiology gap largely unbridged. We formulate microbial life-",
  "authors": "Hanbo Huang, Xuan Gong, Jing Wang, Lei Bai, Xiang Xiao, Weishu Zhao et al.",
  "category": "research",
  "topics": "agents-autonomy,biotech",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-14T06:37:55.000Z",
  "fetched_at": "2026-07-14T16:30:54.923Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4345",
  "original_url": "https://arxiv.org/abs/2605.14442v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}