ClaimsDemis Hassabis

“And one year later, we released AlphaFold 2’s predictions for more than 200 million protein structures, achieving what would take hundreds of millions of years to solve experimentally.”

Hassabis et al., Google DeepMind blog 25 November 2025 AlphaFold: Five Years of Impact (Google DeepMind)

Factual Science and research methods

In 2022, Google DeepMind released AlphaFold 2 predictions for more than 200 million protein structures.

Resolved true The record shows it happened or was so.

Factual: Statements about the present or the past, checked against the record: did they hold up?

Said for an organisation they lead or work for; it counts on both records.

What would count as true or false

True if DeepMind and EMBL-EBI released AlphaFold predictions for more than 200 million protein structures during 2022 (the expansion announced in July 2022), one year after the July 2021 database launch. Mostly true if the release was in 2022 and about 200 million (for example 'over 200 million' versus 214 million), or the timing is approximately one year. Mostly false if the 200-million release happened but not in 2022, or the count was clearly below 200 million. False if no release of about this size took place.

Set before the research began.

Evidence (4)

  1. E1 AlphaFold predicts structure of almost every catalogued protein known to science | EMBL EMBL · 28 July 2022

    “The database is being expanded by approximately 200 times, from nearly 1 million protein structures to over 200 million, covering almost every organism on Earth that has had its genome sequenced.”
  2. E2 DeepMind releases structure predictions for nearly every known protein Chemical & Engineering News (American Chemical Society) · 5 August 2022

    “The release, on July 28, boosted the number of models predicted with DeepMind’s machine learning algorithm AlphaFold to over 200 million individual proteins from over 10 million species.”
  3. E3 AlphaFold reveals the structure of the protein universe Google DeepMind · 28 July 2022 Own record

    “In partnership with EMBL’s European Bioinformatics Institute (EMBL-EBI), we’re now releasing predicted structures for nearly all catalogued proteins known to science, which will expand the AlphaFold DB by over 200x - from nearly 1 million structures to over 200 million structures”
  4. E4 AlphaFold predicts structure of almost every catalogued protein known to science | EMBL EMBL · 28 July 2022

    “DeepMind and EMBL-EBI launched the AlphaFold database in July 2021, with more than 350,000 protein structure predictions, including the entire human proteome.”

Reasoning

EMBL's 28 July 2022 announcement (E1) says the AlphaFold database was being expanded from nearly 1 million to over 200 million protein structures. C&E News (E2) independently confirms the 28 July 2022 release of over 200 million predicted structures. The same EMBL item (E4) dates the original database launch to July 2021, so the expansion came about one year later. This matches the criteria for true: a release of more than 200 million structures in 2022, one year after the launch.

Cite this claim

Demis Hassabis, “In 2022, Google DeepMind released AlphaFold 2 predictions for more than 200 million protein structures.” (said 25 November 2025). Verdict: resolved true. Reliability API, claim c_53155ccac28b, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_53155ccac28b

This claim is in dataset release v1.1.2, with the same verdict.

Reply to this claim

For Demis Hassabis, or someone speaking for them: a correction or counter-evidence. Replies are read before anything is shown; an approved reply shows your name, role, date, statement and link. Your email address is never shown and is deleted 30 days after the decision (privacy).

More factual claims by Demis Hassabis

  1. Mostly true Factual 10 April 2026
    “what’s important about them is their 3D structure.”

    A protein's 3D structure is what determines, or partially determines, its function.

  2. Resolved true Factual 10 April 2026
    “So over 3 million scientists are now using AlphaFold.”

    Over 3 million scientists are now using AlphaFold.

  3. Resolved true Factual 10 April 2026
    “Only about 10% of drugs actually get through all the clinical stages.”

    Only about 10% of drugs get through all the clinical stages.

  4. Mostly true Factual 25 November 2025
    “The AlphaFold Server is empowering non-commercial researchers globally to harness this technology, accelerating their ability to formulate and test new hypotheses.”

    The AlphaFold Server is available to non-commercial researchers globally for predicting structures and interactions.

  5. Mostly true Factual 25 November 2025
    “Our AlphaProteo model can design novel, high-strength protein binders that target diverse molecules – including those associated with cancer and diabetes.”

    AlphaProteo can design novel, high-strength protein binders targeting diverse molecules, including ones associated with cancer and diabetes.

All of them

Verdicts are made automatically; how verdicts are made.