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 ...
Before a chain of amino acids can become an active and useful protein, it must be processed and folded into the appropriate ...
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 ...
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 ...
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 ...
The unfolded protein response (UPR) is a protective pathway that helps cells manage stress during protein production. Cancer cells exploit this ...
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 — ...
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 ...
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, ...
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 ...
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