Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...

Proteins often function in pairs or groups, concealing their internal connection points and making it difficult for ...

Inspired by the simple mechanism of a seesaw—when one side goes up, the other side goes down—researchers asked an intriguing ...

This review provides an overview of traditional and modern methods for protein structure prediction and their characteristics and introduces the groundbreaking network features of the AlphaFold family ...

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 ...

This year’s Lasker Basic Medical Research Award recognizes the contributions of Demis Hassabis and John Jumper for their invention of the AlphaFold artificial intelligence (AI) system, which predicts ...

For most proteins, structure is function. The complex three-dimensional shapes that proteins adopt create folds and pockets that can accomplish the remarkably improbable: driving chemical reactions ...

Different DNA Structures Nucleate the Folding of Proteins to form specific complexes that modulate the readout of ...

And it’s giving the data away for free, which could spur new scientific discoveries. DeepMind says its AlphaFold tool has successfully predicted the structure of nearly all proteins known to science.

As people around the world marveled in July at the most detailed pictures of the cosmos snapped by the James Webb Space Telescope, biologists got their first glimpses of a different set of images — ...