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.
The use of Codex and ChatGPT for genome analysis suggests a capability to process biological sequence data and generate candidate antimicrobial molecules, potentially accelerating discovery through natural language or code-based queries.
This application demonstrates AI's expanding role in drug discovery, specifically in antimicrobial research, which could attract interest from pharmaceutical and biotech sectors facing antibiotic resistance challenges.
Potential to reduce time and cost in early-stage drug discovery by automating candidate identification from genomic data.
Observable next signals include publication of specific antimicrobial candidates, partnerships with biotech firms, or expansion of the approach to other therapeutic areas.