The prediction of protein structure with the use of artificial intelligence and machine learning (AI–ML) is poised to transform how and when three-dimensional (3D) biostructure information is used in ...

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.

Protein design researchers have created a freely available method, RoseTTAFold, to provide access to highly accurate protein structure prediction. Scientists around the world are using it to build ...

Proteins that are no longer needed, defective, or potentially harmful are labeled with a molecular "tag" and dismantled in ...

New computer simulations that model every atom of a protein as it folds into its final three-dimensional form support the existence of a recently identified type of protein misfolding. Proteins must ...

LA JOLLA, CA – July 12, 2012 –Readers of the top-ranked scientific journals Science and Nature might have noticed a recent wave of articles, most recently in the July 13, 2012 issue of Science, with ...

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, ...

In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...

It took decades of painstaking research to map the structure of just 17 per cent of the proteins used within the human body, but less than a year for UK-based AI company DeepMind to raise that figure ...

The company has already used its protein-folding AI, AlphaFold, to generate structures for the human proteome, as well as yeast, fruit flies, mice, and more. Back in December 2020, DeepMind took the ...