Researchers at Rensselaer Polytechnic Institute (RPI) have found that today's leading artificial intelligence tools for predicting protein structures routinely generate results that are physically and ...

Nebius runs a dedicated Scientific AI and Healthcare practice among its cloud solutions, and in July 2026 it held an expanded AI Discovery Awards program recognizing healthcare and life sciences ...

Add Yahoo as a preferred source to see more of our stories on Google. The AI tool designed binders against Cytotoxic T-lymphocyte-associated protein 4 (CTLA-4). The known protein universe just got a ...

A team of Boston University and Stony Brook University researchers achieved excellent results in predicting the structures of multiprotein complexes, with implications for understanding diseases and ...

A Baylor College of Medicine-led team has developed a strategy that combines the analysis of thousands of proteins with ...

BERKELEY, Calif., May 26, 2026--(BUSINESS WIRE)--The Rocklin Lab at Northwestern University today announced the release of the MGnify Stability Dataset, a large-scale experimental resource containing ...

An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design proteins needed for new treatments. Inverse protein folding is a critical ...

Uncover the latest and most impactful research in RNA Structure Prediction and Analysis. Explore pioneering discoveries, insightful ideas and new methods from leading researchers in the field. Much of ...

Utilizing over 20,000 private structures for training—a mechanism to use collaboratively developed AI while keeping ...

AISB Network launches AISB Bind to improve prediction of how molecules bind for virtual screening and lead optimization ...

For decades, scientists have understood proteins primarily through two defining features: their amino acid sequence and their three-dimensional structure. This framework has driven major advances in ...