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 ...

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 are essential macromolecules that play a crucial role in virtually all biological processes. They are the building blocks of life, performing a wide range of functions within organisms, from ...

Researchers recently published findings that could lay the groundwork for applying quantum computing methods to protein structure prediction. Researchers from Cleveland Clinic and IBM recently ...

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 ...

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 ...

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.

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 ...

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 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 ...