EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
OpenAI Blog·Sep 10·5 min read
How a researcher uses Codex and ChatGPT to search for new antimicrobial molecules
TL;DR
César de la Fuente’s lab employs OpenAI's Codex and ChatGPT to identify potential antimicrobial molecules from both living and extinct genomes, targeting drug-resistant infections. This innovative approach aims to discover new treatments for pressing health challenges.
✦ Why It Matters
Explore genomic data today to identify new antimicrobial candidates and contribute to combating drug resistance.
Key Takeaways
- Utilize Codex for genomic analysis in your research.
- Incorporate ChatGPT to generate hypotheses from data.
- Focus on both living and extinct genomes for broader insights.
- Address antibiotic resistance by exploring new antimicrobial molecules.
Full Summary
César de la Fuente’s research team is leveraging OpenAI's Codex and ChatGPT to explore genomic data for antimicrobial candidates. By analyzing both living and extinct genomes, they aim to uncover new molecules that can combat drug-resistant infections, a growing global health concern.
The methodology involves using Codex to interpret complex genomic sequences and ChatGPT to generate hypotheses about potential antimicrobial properties. Early results indicate promising candidates that could lead to effective treatments.
This approach not only accelerates the discovery process but also broadens the scope of potential antimicrobial agents by including extinct species. The implications of this research could significantly impact the fight against antibiotic resistance, which is a critical issue in modern medicine.