How a researcher uses Codex and ChatGPT to search for new antimicrobial molecules

A research lab, led by César de la Fuente, is leveraging advanced AI models, specifically Codex and ChatGPT, to identify novel antimicrobial molecules. This innovative approach involves scanning both extant and extinct genomic data to discover potential candidates capable of combating drug-resistant infections.

Why it matters

This development signals a significant shift in scientific discovery methodologies, indicating that AI can accelerate the identification of critical biological compounds. It has the potential to revolutionize how new treatments are found for global health challenges like antimicrobial resistance, thereby impacting public health and biopharmaceutical research strategies.

Key insights

• AI models, including Codex and ChatGPT, are being utilized in scientific research.
• The application focuses on searching genomic data for antimicrobial candidates.
• The scope of genomic data includes both living and extinct organisms.
• The primary objective is to address the challenge of drug-resistant infections.

Source

OpenAI Research — https://openai.com/index/using-codex-chatgpt-to-search-for-new-antimicrobials