How a researcher uses Codex and ChatGPT to search for new antimicrobial molecules
César de la Fuente’s lab uses Codex and ChatGPT to search living and extinct genomes for antimicrobial candidates to fight drug-resistant infections.
A bioengineer and his lab use AI tools including Codex and ChatGPT to search through genomes of living and extinct organisms for molecules that could fight drug-resistant infections. Drug-resistant microbes pose a growing global threat, and the traditional approach of modifying existing medicines has offered diminishing returns, making the search for new antimicrobial candidates increasingly urgent. The lab treats biology as an information system, using deep-learning models to identify patterns in genetic sequences that might indicate functional antimicrobial molecules, reducing what could take years of research to just hours. Beyond their own AI models, the team uses ChatGPT and Codex to brainstorm ideas, write code, process data, and bridge knowledge gaps across different scientific disciplines, though they emphasize that AI predictions must still be validated through laboratory experiments before any molecule can become an approved drug.
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