AI BriefingOpenAI GPT-Rosalind with 1,946 Agents and Claude Scorpion Toxin Binder Design: Two Cases in AI Scientific Research
·2026.10.23 08:04
Key point
OpenAI interpreted mouse whole-brain CRISPR atlas data in 32 minutes using 1,946 agents, while Anthropic designed 17 toxin binders with Claude.
Details
- OpenAI ran 1,946 GPT-Rosalind-based agents in parallel to interpret mouse whole-brain CRISPR atlas data in 32 minutes
- Anthropic used Claude to design 318,484 scorpion toxin binders, confirming that 17 bound to the toxin in laboratory validation
- The OpenAI study is at the stage of interpreting existing data, while the Anthropic study has completed laboratory validation
- Both studies show that AI performs the role of generating large numbers of candidates and performing primary inference, while final validation and discovery remain the domain of humans
OpenAI GPT-Rosalind Study
- Collaborated with PerturbAI and the Salk Institute to analyze mutation data for 2,000 mouse brain genes
- The parallel agent approach outperformed the single-agent approach in literature citations (over 700 vs. 11) and expert evaluation (75% advantage)
- Derived a hypothesis linking the cholesterol transport issue of the DCTN1 gene, associated with Perry syndrome, to neurodegeneration
Anthropic Claude Protein Design
- Conducted research to address the problem of over 1.2 million infections and more than 3,250 deaths annually caused by scorpion toxin poisoning
- Claude generated 318,484 proteins using 12 design tools over 64 hours and filtered them down to 180 in a primary screening
- Two external experimental vendors validated 211 candidates, with 17 passing the binding criteria; 18% of designs targeting a single toxin were successful
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