César de la Fuente Lab Uses Codex and ChatGPT to Mine Genomes for New Antimicrobials
Original title:How a researcher uses Codex and ChatGPT to search for new antimicrobial molecules
Addressing the growing crisis of antibiotic-resistant pathogens, César de la Fuente’s laboratory at the University of Pennsylvania is employing Codex and ChatGPT within their computational biology pipeline. By systematically screening genomic sequences from both living organisms and extinct species, the team accelerates the identification of novel antimicrobial peptide candidates, demonstrating how code- and language-centric models can assist molecular discovery across evolutionary datasets.
Why it's worth reading
It highlights a concrete interdisciplinary application where standard LLMs and code models assist researchers in mining ancient and extant genomes for novel therapeutics.