Chung’s group captured the transition period directly by improving the time resolution of a method called single-molecule ...

This year’s Lasker Basic Medical Research Award recognizes the contributions of Demis Hassabis and John Jumper for their invention of the AlphaFold artificial intelligence (AI) system, which predicts ...

This review provides an overview of traditional and modern methods for protein structure prediction and their characteristics and introduces the groundbreaking network features of the AlphaFold family ...

DAVIS, Calif.--(BUSINESS WIRE)--OpenFold, a non-profit artificial intelligence (AI) research consortium, today announced the release of two new tools: 1) SoloSeq, which integrates a new protein Large ...

Dublin, Feb. 19, 2026 (GLOBE NEWSWIRE) -- The "3D Protein Structure Analysis: Global Markets" has been added to ResearchAndMarkets.com's offering. The global market for 3D protein structure analysis ...

University of North Carolina at Chapel Hill postdoctoral researcher Samruddhi Jewlikar applies protein engineering and ...

In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...

The researchers matched the 3D shapes to the structures of proteins whose functions are already known. Because the structure of a protein directly contributes to its biological function, their study ...

The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their ...

A team of researchers has developed a method that could transform the field of protein engineering. The new approach, called AI-informed Constraints for protein Engineering (AiCE), enables rapid and ...