GGBound: A Genome-Grounded Agent for Microbial Life-Boundary Prediction
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-
Record details
Published: 14 May 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy · Biotech
Retrieved: 14 July 2026
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ethics.ai (14 May 2026), “GGBound: A Genome-Grounded Agent for Microbial Life-Boundary Prediction,” evidence record 4345, https://ethics.ai/record/4345 (originally published by arXiv).
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