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papersSEP 10 16:00 UTC

Researcher uses Codex and ChatGPT to hunt antimicrobial candidates in genomes

César de la Fuente's laboratory is applying OpenAI's Codex and ChatGPT to screen genetic data from both living and extinct organisms for potential antimicrobial compounds. The goal is to surface new drug candidates that could help address infections resistant to current antibiotics. The work illustrates how AI coding and language tools are being folded into early-stage biomedical discovery.

WHY IT MATTERS ↘It shows that general-purpose coding and language models can be repurposed as cheap screening instruments in domains like drug discovery, shifting advantage to labs that can wrap them in domain-specific pipelines rather than to whoever trains the frontier model. It also widens the surface for dual-use and biosecurity scrutiny, since the same tooling that surfaces antimicrobial candidates could be pointed at other genomic targets.

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