The mechanism by which a linear sequence of amino acids controls the folding of a protein into its unique three-dimensional structure remains incompletely understood. In April 8 online Nature ...

A year after demonstrating its AlphaFold program could tackle the decades-old problem of predicting the final working shapes of proteins from just their building blocks—and making it open to the ...

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 — ...

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 ...

Researchers from Facebook AI Research (FAIR) at Meta AI have published a paper in the journal Science detailing a machine-learning-created database of 617 million predicted protein structures. The ...

An artificial intelligence group says its program has successfully predicted the structure of nearly every protein known to science — effectively solving one of the "grand challenges" of biology and ...

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, ...

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 ...

The Alphabet-owned company DeepMind has massively increased the number of predicted protein structures available to researchers through a free database. The release, on July 28, boosted the number of ...

Last year, Alphabet’s DeepMind released an open source database of the 3D structures of hundreds of thousands of proteins, including all 20,000 known proteins in the human body. Now, this AlphaFold ...