The chains of amino acids that make up proteins are critical to every form of life. The complex ways that these proteins fold and interact has fascinated researchers for decades. Exactly how a protein ...

Anthropic says Claude designed lab-validated protein binders and analyzed chemistry data, highlighting AI’s expanding role in ...

Within the past few years, models that can predict the structure or function of proteins have been widely used for a variety of biological applications, such as identifying drug targets and designing ...

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

For large language models (LLMs) like ChatGPT, accuracy often means complexity. To be able to make good predictions, ChatGPT must deeply understand the concepts and features that are associated with ...

Anthropic says its Claude models designed working protein binders against 14 of 15 targets in a campaign that outside labs ...

Within the past few years, models that can predict the structure or function of proteins have been widely used for a variety of biological applications, such as identifying drug targets and designing ...

Each protein is identified as a point in this scatter plot of data embedded in the language model’s latent space. The red, green and yellow points indicate various subtypes of proteins found in nature ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.

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