is an AI system
developed by DeepMind
that predicts the 3D structure of a protein from its amino acid sequence. It regularly achieves accuracy competitive with experiments. The information released today includes over 360000
atomic resolution structuresr; about double than the total number of experimental structures of macromolecules available to date via
(of which only ~100000 correspond to unique proteins). In coming months, the AlphaFold Protein Structure Database
plans to expand 'to cover a large proportion of all catalogued proteins'
(over 100 million!
In an article in the journal Structure Stephen Burley and Helen Berman
name this event A cornerstone for artificial intelligence approaches to protein structure prediction
. We believe that the latest achievements of AlphaFold
, able to accurately predict the structures of proteins in numbers that reach the complete proteome of organisms, are only comparable with the scientific revolution in the 50's
of the 20th
century, represented by the experimental elucidation of the structure of the DNA double helix (Rosalind Franklin
together with Watson, Crick and Wilkins
) and first structures of globular proteins (Perutz and Kendrew
). The AlphaFold DB
has been jointly developed by DeepMind
and the EMBL's European Bioinformatics Institute (EMBL-EBI)
. It will undoubtedly boost our understanding of biology at a molecular level and quickly become an invaluable new tool to accelerate scientific research in all life and molecular science fields.