How a researcher uses Codex and ChatGPT to search for new antimicrobial molecules
· Source: OpenAI Blog
The laboratory led by César de la Fuente uses OpenAI’s Codex and ChatGPT models to investigate both contemporary and extinct genomes for compounds with antimicrobial potential. Researchers program Codex to sift through genomic databases and extract sequences that might encode peptides or molecules capable of inhibiting drug‑resistant bacteria. They then employ ChatGPT as a conversational assistant to help formulate hypotheses, interpret results, and design in‑vitro validation experiments. This approach blends massive genetic data processing with natural‑language idea generation, speeding the identification of promising candidates that would otherwise require months of manual work. Early trials have uncovered several molecules that show activity against high‑risk bacterial strains, though they remain in preliminary testing stages.
This research is significant because antibiotic resistance poses a growing public health threat, and integrating AI tools could markedly shorten the time needed to discover new treatments. It also demonstrates how AI can expand the reach of synthetic biology, enabling the exploration of genetic resources that were previously inaccessible.
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