DeepMind says its AlphaFold tool has successfully predicted the structure of nearly all proteins known to science. The AI lab is offering its database of over 200 million proteins to anyone for free.

The diversity of protein structures precludes the possibility of obtaining simple folding rules, making structure prediction difficult. Protein folding is ultimately driven by quantum mechanics ...

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 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 ...

Google’s AI protein folder IDs structure where none seemingly existed Two intrinsically disordered proteins form a specific structure ID'ed by AlphaFold. John Timmer – Sep 19, 2023 2:06 pm | 45 ...

Protein structure predictions are bioinformatic analyses that produce predicted protein structures automatically using the protein amino acid sequence. Protein structures are important because ...

The structure shows that RI anchors the protein to the bacterium. RII is a long string of about 120 repeating domains that gives the protein most of its extraordinary length.

The prediction of protein structure is difficult for a few reasons. First, there is a huge search space — every possible 3D position for each atom in each amino acid.

Researchers from Cleveland Clinic and IBM have recently published findings in the Journal of Chemical Theory and Computation that could lay the groundwork for applying quantum computing methods to ...