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What Demis Hassabis thinks about protein structure prediction

@demis-hassabis · 24 positions · 0 changes of mind

Co-founder and CEO of Google DeepMind, and a 2024 Nobel laureate in Chemistry for the protein-structure work behind AlphaFold.

Demis Hassabis did not write this page.

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3 dated positions, 2021 to 2025, in their own words. Our reading of what Demis Hassabis has said — not written or endorsed by them.

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  1. Our readingWe have not scratched the surface of what classical, non-quantum computers can do; they can already go far further than anyone expected.

    Their wordsI think we've proven, and the AI community in general that classical systems, Turing machines can go a lot further than we previously thought. They can do things like model the structures of proteins and play go to better than world champion level. And a lot of people would've thought maybe 10, 20 years ago that was decades away, or maybe you would need some sort of quantum machines to quantum systems to be able to do things like protein folding. And so I think we haven't really even sort of scratched the surface yet of what classical systems so-called could do.

    ↗Demis Hassabis: Future of AI, Simulating Reality, Physics and Video Games | Lex Fridman Podcast #475youtube.com 3rd of 20 in this recording

  2. 4 years earlier

  3. Our readingExisting protein structure prediction methods fall far short of atomic accuracy when no homologous structure is available.

    Their wordsDespite recent progress10-14, existing methods fall far short of atomic accuracy, especially when no homologous structure is available.

    ↗Highly accurate protein structure prediction with AlphaFold (with 33 co-authors)doi.org 2nd of 4 in this piece

  5. Our readingA computational method can regularly predict protein structures with atomic accuracy even when no similar structure is known.

    Their wordsHere we provide the first computational method that can regularly predict protein structures with atomic accuracy even in cases in which no similar structure is known.

    ↗Highly accurate protein structure prediction with AlphaFold (with 33 co-authors)doi.org 3rd of 4 in this piece