César de la Fuente’s laboratory is employing Codex and ChatGPT to explore genetic data for novel therapeutic options. The team analyzes both living and extinct genomes to identify viable antimicrobial candidates. Through this computational work, the researchers aim to address the medical challenges posed by drug-resistant infections.
The research group specifically relies on these models to parse biological sequences across evolutionary history. By searching through living and extinct genomes, the project examines genetic blueprints that may yield effective antimicrobial candidates. This computational approach remains directed at discovering new mechanisms to fight drug-resistant infections.