OpenAI trained a new LLM, GPT-Rosalind, on 50 common biological workflows and major public databases to help researchers navigate massive genomic and protein datasets. The model links genotype to phenotype, suggests biological pathways, and prioritizes potential drug targets by leveraging mechanistic understanding.

• OpenAI's GPT-Rosalind is fine-tuned on the 50 most common biological workflows plus major public gene/protein/pathway databases
• It's designed to bridge jargon silos between biology subfields (e.g., helping a plant geneticist interpret neurobiology findings)
• Beyond summarizing data, it suggests biological pathways, links genotype to phenotype, and ranks drug targets to speed up hypothesis generation in drug discovery and synthetic biology