Life Sciences – Codex
GPT-Rosalind, our frontier reasoning model, is built to support research across biology, drug discovery, and translational medicine. This life sciences model series is optimized for scientific workflows, combining improved tool use with deeper understanding across chemistry, protein engineering, and genomics. Right now, GPT-Rosalind is available as a research preview in ChatGPT, Codex, and the API for qualified users through our trusted access program.
Life Sciences Research & Analysis
Use Codex to transform sequencing data into actionable biological insights, from bulk and single-cell RNA-seq analysis to multi-source target prioritization.
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Prioritize drug targets
Use Codex with the Life Science Research plugin to normalize entities, retrieve genetics...
Sciences Data](https://developers.openai.com/codex/use-cases/target-prioritization)[
Validate bulk RNA-seq inputs
Use Codex with the NGS Analysis plugin to validate sample sheets, FASTQs, and references...
Sciences Data](https://developers.openai.com/codex/use-cases/bulk-rna-seq-fastq-qc)[
Annotate scRNA-seq data
Use Codex with the NGS Analysis plugin to turn a 10x-style matrix bundle into QC-filtered...
Sciences Data](https://developers.openai.com/codex/use-cases/scrna-seq-post-count-qc)
Protein Folding Research & Architecture Search
Use Codex to turn protein-folding hypotheses into reviewable experiment loops with explicit benchmarks, durable artifacts, and clear evidence boundaries.
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Discover protein folding architectures
Use Codex with Goal Mode to research and implement novel architectural modifications to...
Sciences Engineering](https://developers.openai.com/codex/use-cases/discover-protein-folding-architectures)