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  1. ResearchReach 48

    Claude designs 17 protein binders against scorpion venom in 64 hours

    Anthropic's internal Claude model just autonomously engineered protein minibinders against lethal scorpion neurotoxins in a 64-hour campaign. Generating 318,484 candidates using 12 tools, wet-lab testing confirmed 17 of the 211 evaluated designs hit binding targets. Why it matters: It shows AI agents can independently tackle neglected diseases that pharmaceutical companies routinely ignore.

  2. ResearchReach 38

    Claude designs proteins from scratch and beats human benchmarks

    Anthropic just revealed that Claude can design custom protein binders from scratch, successfully hitting 14 out of 15 biological targets with hit rates up to 35%—more than double typical industry campaigns. It also tackled analytical chemistry, parsing raw lab data in under 25 minutes. Why it matters: Frontier AI is moving past code and chat into physical wet-lab drug discovery, turning months of specialized orchestration into hours.