Hunting antibiotics in the genomes of extinct species, with OpenAI Codex writing the code
César de la Fuente's lab screens genomes of living and extinct organisms for antimicrobial candidates against drug-resistant infections, OpenAI says.
OpenAI has published a case describing how a research lab uses Codex and ChatGPT in its work. The lab led by César de la Fuente searches genomes of living and extinct organisms for candidate antimicrobial molecules that could be used against drug-resistant infections.
The published summary points to two parts of the workflow: screening tasks that run over genomic data, and the code that drives those tasks. Codex handles the coding side, while ChatGPT sits inside the research process itself.
Beyond that summary, the announcement does not include numerical results, a count of identified molecules, or a paper reference. Readers who want details on the screening method, the candidates produced and how they are validated should go to the primary source.
Full item: OpenAI, "How a researcher uses Codex and ChatGPT to search for new antimicrobial molecules".
