
The Decoder: Claude Science tackles deadly scorpion stings by designing protein binders from scratch
Anthropic's Claude independently designed protein binders targeting deadly scorpion neurotoxins. Out of more than 318,000 designs, 211 were tested in the lab. Seventeen met the criteria, and the two strongest bind extremely tightly to Cn2, a toxin from a Mexican scorpion. Whether they actually work as antivenom remains an open question. The article Claude Science tackles deadly scorpion stings by designing protein binders from scratch appeared first on The Decoder.
An AI system designed protein molecules that could potentially bind to and neutralize scorpion neurotoxins, which kill thousands of people annually. The AI generated hundreds of thousands of designs over 24 hours with minimal human direction, then researchers tested 211 candidates in the lab, with 17 meeting the criteria for effective binders. The two strongest candidates bound tightly to a toxin from the Mexican scorpion and showed signs of working similarly to known antibodies, though actual effectiveness as an antivenom has not yet been tested. External experts confirmed the results represent a promising first step, with hit rates significantly higher than typical protein design success rates.
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Browse AI courses on MavenDiffusion language model startup Inception AI Inc. today released Mercury 3, its new flagship model. In the company’s own benchmarks, Mercury 3 beat OpenAI Group PBC’s GPT-6 Luna and Anthropic PBC’s Claude Haiku 5.5 on eight of 12 tests at four to eight times their speed. The release takes on the main doubt about Inception’s […] The post Inception says Mercury 3 beats GPT-6 Luna and Claude Haiku 5.5 at up to 8x the speed appeared first on SiliconANGLE.
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