Claude Designs Real Protein Binders That Stick in the Lab
7 Articles
7 Articles
Claude Designs Real Protein Binders That Stick in the Lab
Anthropic just put its latest Claude models through two rigorous tests that move AI beyond chat and code. The systems designed protein binders from scratch. They also analyzed raw chemistry lab data without specialized software. Results appeared yesterday in a detailed research post from the company itself. Protein binders represent an early but essential step toward new medicines. A binder latches onto a biological target and can block or alter…
Anthropic says Claude designed working protein binders
Anthropic says its Claude models designed working protein binders and ran a chemical-analysis job in minutes. It published the two experiments on Tuesday. The company reported the results itself. It framed them as early evidence that Claude can speed up parts of drug development. Anthropic shared the work on its research blog. The headline numbers […] This story continues at The Next Web
Anthropic says Claude can now design proteins and analyse lab data
Anthropic says Claude can now do more than chat and code; it can design protein binders and analyse chemistry lab data. The company says the AI completed tasks that can take scientists hours or even weeks, hinting at a much bigger role for AI in research.
Anthropic presented results that show how Claude can accelerate two initial tasks of pharmaceutical development: designing protein binders and analyzing laboratory chemical data. *** Claude designed binders against 14 of 15 protein targets, with success rates of up to 35.1%. Adaptyv Bio and Twist Bioscience validated 1,320 designs, of which 354 showed binding to targets. Claude Opus 5 interpreted RMN and LC-MS files in less than 25 minutes, with…
Anthropic says any lab can now let a language model agent run the whole protein design stack
Anthropic had its Claude models design small proteins on their own that dock onto target structures in the body, a key step in early drug development. The hit rate reached up to 35 percent, far above the industry average of 10 to 15 percent. Claude only steered existing specialized tools, and an independent review is still pending. The article Anthropic says any lab can now let a language model agent run the whole protein design stack appeared f…
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