Over two million researchers have used AlphaFold and its predicted structures.
Mostly true True in substance, wrong in a detail.
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: Google DeepMind or EMBL-EBI official figures from around December 2024 report more than 2 million researchers or users of AlphaFold and its predicted structures (for example, through the AlphaFold Protein Structure Database). Mostly true: the official figure is about 2 million (say 1.8 to 2 million), or it counts "users" across 190+ countries rather than researchers specifically. Mostly false: the official figure at that date is well below 2 million, for example only about 1 to 1.5 million, or the 2 million figure was only reached later. False: the official figures at that date are far below 2 million.
Set before the research began.
Evidence (7)
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E1 Computational protein design and protein structure prediction win Nobel Prize in Chemistry | EMBL EMBL · 9 October 2024
““Since launch, the database has had over one million users from nearly every country. Thousands of scientific papers that mention AlphaFold have already been published.”
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E2 AlphaFold Protein Structure Database 2025: a redesigned interface and updated structural coverage Oxford Academic (Nucleic Acids Research) · 22 November 2025
“with to date, over 4,501,953 total users accessing the AFDB website”
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E3 AlphaFold Protein Structure Database 2025: a redesigned interface and updated structural coverage Nucleic Acids Research (Oxford Academic) · 22 November 2025
“The practical utility of these predictions is underscored by their use, with to date, over 4,501,953 total users accessing the AFDB website, more than 18,000 proteome archives downloaded, and the data's integration into major primary data resources”
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E4 Explainer: Why have protein design and structure prediction won the 2024 Nobel prize in chemistry? Chemistry World · 9 October 2024
“Now AlphaFold has more than 2 million users and has resulted in the prediction of 200 million protein structures.”
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E5 Computational protein design and protein structure prediction win Nobel Prize in Chemistry EMBL-EBI · 9 October 2024
“Since launch, the database has had over one million users from nearly every country.”
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E6 The AI revolution hinges on accessible training | EMBL EMBL · 12 March 2024
“There are already 18,000 scientific papers citing AlphaFold, and the database has over 1.7 million users in 190 countries.”
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E7 AlphaFold Google DeepMind Own record
“Over 2 million researchers in over 190 countries are using the AlphaFold Protein Structure Database to inform their research.”
Reasoning
EMBL reported over 1.7 million AlphaFold Database users in 190 countries in March 2024 (E6). In October 2024, Chemistry World reported that AlphaFold had more than 2 million users (E4), and Google DeepMind's undated page says over 2 million researchers in over 190 countries use the database (E7). EMBL's October 2024 wording, "over one million users" (E1, E5), is a lower bound and does not contradict these figures. EMBL's counts are of database users across about 190 countries rather than researchers specifically (over 1.7 million in March 2024 [E6]), Chemistry World reported more than 2 million users in October 2024 [E4], and DeepMind's figure of over 2 million researchers [E7] is undated, so the criteria point to mostly true.
Cite this claim
Demis Hassabis, “Over two million researchers have used AlphaFold and its predicted structures.” (said December 2024). Verdict: mostly true. Reliability API, claim c_833585ebed3d, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_833585ebed3d
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
More factual claims by Demis Hassabis
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Mostly true
“what’s important about them is their 3D structure.”
A protein's 3D structure is what determines, or partially determines, its function.
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Resolved true
“So over 3 million scientists are now using AlphaFold.”
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Resolved true
“Only about 10% of drugs actually get through all the clinical stages.”
Only about 10% of drugs get through all the clinical stages.
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Mostly true
“The AlphaFold Server is empowering non-commercial researchers globally to harness this technology, accelerating their ability to formulate and test new hypotheses.”
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Mostly true
“Our AlphaProteo model can design novel, high-strength protein binders that target diverse molecules – including those associated with cancer and diabetes.”
Verdicts are made automatically; how verdicts are made.