Autonomous AI protein design clears a new benchmark: Anthropic's Claude autonomously ran protein binder campaigns against 15 ...

A researcher can introduce the gene encoding the receptor protein to a small group of neurons using a viral vector. Then, ...

Anthropic says Claude designed protein binders against 14 of 15 targets and ran chemical analysis in minutes. The results are ...

Opportunities span AI-driven protein design and structure prediction, precision therapeutics, engineered biologics and vaccines, synthetic biology, novel enzymes, high-throughput screening, and ...

In a new move, researchers have shown that protein design software can incorporate motion into its outputs. The resulting protein gives a wave with one arm as it binds and releases a calcium ion ...

Protein language models are artificial intelligence tools which help engineer proteins with useful properties, including completely new structures never seen before in nature. The technology has huge ...

Alena Khmelinskaia wants designing bespoke proteins to be as simple as ordering a meal. Picture a vending machine, she says, which any researcher could use to specify their desired protein’s function, ...

Anthropic's Claude AI designed protein binders for 14 of 15 targets, outperforming typical hit rates and speeding up drug ...

Recent advances in computational protein design have depended mainly on neural networks and machine learning to generate binders. However, the complexity of protein–protein interactions and the ...

Therapeutic protein design is evolving—and it is doing so in more than one sense of that word. Protein design is being guided by artificial intelligence (AI), which drug developers are using to ...

Deep learning methods have been used to augment existing energy-based physical models in 'do novo' or from-scratch computational protein design, resulting in a 10-fold increase in success rates ...