Scientists organize millions of proteins by shape, as predicted by AI, revealing 700,000 new families and some shapes unique to humans.

On Wednesday, the Nobel Committee announced that it had awarded the Nobel Prize in chemistry to researchers who pioneered major breakthroughs in computational chemistry. These include two researchers ...

Demis Hassabis (CEO of Deep Mind) and John M. Jumper have useed artificial intelligence to predict the structure of almost all known proteins. David Baker has learned how to master life’s building ...

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 ...

Researchers identify a shared RNA-protein interaction that could lead to broad-spectrum antiviral treatments for ...

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 ...

In the wee hours of an October morning, David Baker, a protein biologist at the University of Washington (UW), received the most-awaited phone call in a scientist’s career. Halfway around the world, ...

David Baker, Demis Hassabis and John M. Jumper shared the Nobel Prize in Chemistry on Wednesday for their work on protein structure. Atila Altuntas / Anadolu via Getty Images On Wednesday morning, ...