The method outperforms traditional models and offers promising potential for protein design. Designing new proteins with specific structure and function is a highly important goal of bioengineering, ...
A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...
Artificial intelligence (AI) and “protein language” models can speed the design of monoclonal antibodies that prevent or reduce the severity of potentially life-threatening viral infections, according ...
Protein scientists could improve reproducibility and coordination across the field by rallying around a small, shared set of ...
Genesis’ proprietary foundation model – Pearl – outperforms frontier models, including AlphaFold 3, on key benchmarks that predict utility in real-world drug discovery Pearl’s performance improved ...
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 ...
University of Chicago alum John Jumper was awarded a share of the 2024 Nobel Prize in Chemistry on Oct. 9 for developing an AI model that predicts the complex folded structures of proteins. The Royal ...
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 ...
When a protein folds, its string of amino acids wiggles and jiggles through countless conformations before it forms a fully folded, functional protein. This rapid and complex process is hard to ...
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