Protein hydrophobicity is a fundamental driver of protein folding dynamics, underpinning the formation of a central hydrophobic core that stabilises the three-dimensional structure amid an aqueous ...

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 ...

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein engineering for cancer treatment. Operating significantly faster than traditional all ...

An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design proteins needed for new treatments. In a study published in the journal Nature ...

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, ...