Updated: DeepMind's AlphaFold now contains structure of 200M proteins. What does that mean for drug R&D?
When AlphaFold first came out, it debuted with the promise of increasing the number of protein structures that could be predicted, a move that had eluded researchers for decades and could prove to become a crucial step to moving drug development to a new height.
Now, AlphaFold says its database of protein structures has been massively expanded.
Google’s AI outfit and the European Molecular Biology Laboratory’s European Bioinformatics Institute (EMBL-EBI) announced Thursday that DeepMind’s AlphaFold database now contains the structures of more than 200 million proteins. It’s a substantial jump from where it was a year ago when DeepMind announced that it had predicted the structure of only about 350,000 proteins.
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