DeepMind’s AlphaFold can predict almost any protein structure

DeepMind released the source code for AlphaFold, an AI system that predicts protein structures, last July and created a database, the AlphaFold Protein Structure Database (AlphaFold DB) . A year later, AlphaFold has been visited by more than a million researchers and is being used to solve important real-world problems, from plastic pollution to antibiotic resistance. DeepMind has now announced a collaboration with the EMBL European Bioinformatics Institute (EMBL-EBI) to publish the predicted structures of all known proteins, increasing the size of the AlphaFold DB by more than 200-fold—from nearly one million to over 200 million—with the potential to improve our understanding of understanding of biology. All structures will be available for bulk download through Google Cloud Public Datasets .

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