César de la Fuente’s lab leverages Codex and ChatGPT to identify potential antimicrobial candidates by analyzing both living and extinct genomes. The approach aims to combat drug-resistant infections by uncovering novel molecules that traditional methods might miss. This workflow integrates AI coding assistance with biological data search capabilities to accelerate discovery.
- AI coding tools like Codex assist in navigating complex genomic datasets for drug discovery
- Searching extinct genomes alongside living ones expands the pool of potential antimicrobial candidates
- This workflow targets the urgent need to fight drug-resistant infections
