, more than 200 million from bacteria to humans, a striking achievement for AI and a potential treasure trove for drug development and evolutionary studies.
“We’re releasing now the structures for the whole protein universe,” said Demis Hassabis, founder and CEO of DeepMind, at a press conference in London. The structural bounty comes from AlphaFold, one of the new AI programs that have cracked the protein-folding problem, the long-standing challenge of accurately deriving the 3D shapes of proteins from their amino acid sequences. AlphaFold’s newly predicted structures were released yesterday into an existing database through a partnership with the European Molecular Biology Laboratory’s European Bioinformatics Institute .
Eric Topol, director of the Scripps Research Translational Institute, echoed the amazement of many outside scientists. “AlphaFold is the singular and momentous advance in life science that demonstrates the power of AI,” he tweeted. “With this new addition of structures illuminating nearly the entire protein universe, we can expect more biological mysteries to be solved each day.”
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New public database of AI-predicted protein structures could transform biologyThanks to a new public database unveiled last year, computers can now rapidly and reliably predict the 3D shape of most proteins. ScienceMagArchives Then what about 'Methionylthreonylthreonylglutaminylarginyl.....isoleucine'😁😜
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