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 ...

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 ...

Researchers have developed a method to evaluate the folding stability of a million proteins simultaneously. DNA libraries were used to generate protein -- DNA complexes that were treated with enzymes ...

Artificial intelligence (AI) is reshaping the scientific landscape, offering fantastic solutions to some of the most pressing global challenges. From combating climate change to transforming ...

On Tuesday, Google DeepMind and Isomorphic Labs announced a significant progress update on the next iteration of AlphaFold, the deep learning model that in 2020 cracked the problem of predicting a ...

Researchers from Northwestern University and the Institute for Industrial Science at the University of Tokyo say they have developed a new high-throughput approach known as cDNA display proteolysis to ...

Most of the activities that go on inside cells—the activities that keep us living, breathing, thinking animals—are handled by proteins. They allow cells to communicate with each other, run a cell’s ...

In the past few years, huge advances have been made in predicting protein structures using artificial intelligence. But the reverse problem—taking a protein shape and then predicting how to build it ...

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 ...

Just as a misshapen key can't open a lock, the proteins in our cells need to have the correct 3D shape to function properly. And defects in a protein's structure can cause diseases. Proteins are ...