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

Researchers recently published findings that could lay the groundwork for applying quantum computing methods to protein structure prediction. Researchers from Cleveland Clinic and IBM recently ...

Protein engineering is a powerful biotechnological process that focuses on creating new enzymes or proteins and improving the functions of existing ones by manipulating their natural macromolecular ...

For those outside the chemistry cognoscenti, the announcement might have seemed little more than researchers patting each other on the back. But the question of protein folding had plagued scientists ...

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, ...

Researchers have taken a significant step forward in understanding the stability of proteins by leveraging the power of AI. The research team used AlphaFold2 to explore how mutations affect protein ...

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, ...

Half the prize goes to Demis Hassabis and John M. Jumper from Google DeepMind for using AI to solve protein folding, and the other to David Baker for tools to help design new proteins. In a second ...