The AlphaFold database doubled in size on 9 December 2021 and now includes more than 800,000 structures.
Unresolvable The public record could not settle it.
Factual: Statements about the present or the past, checked against the record: did they hold up?
The second judge would not resolve this claim; the verdict shown is the first judge's.
Said for an organisation they lead or work for; it counts on both records.
What would count as true or false
True if, on or around 9 December 2021, the AlphaFold Protein Structure Database was expanded so that it held roughly twice its previous number of structures (about 1.8x to 2.2x the prior count, which was about 360,000) and the total after the expansion was more than 800,000 structures. Mostly true if both happened but one detail slips a little: the update came within a few days of 9 December 2021, or the increase was somewhat outside 'doubled' (about 1.7x to 2.4x) while the total was still above 800,000. Mixed if only one of the two parts holds: for example, the total passed 800,000 but the database did not roughly double, or it roughly doubled but the total stayed at or below 800,000. Mostly false if an expansion happened around then but neither the doubling nor the more-than-800,000 figure is right. False if no such expansion happened around 9 December 2021, or the database count at that time was far below these figures.
Set before the research began.
Evidence (4)
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E1 New AlphaFold DB release with 200+ million predicted structures EMBL-EBI (JDispatcher blog) · 28 July 2022
“With @DeepMind, we’ve more than doubled the size of the database & added predictions for most of the manually-curated @uniprot entries in UniProtKB/SwissProt.”
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E2 New AlphaFold DB release with 200+ million predicted structures EMBL-EBI (JDispatcher blog) · 28 July 2022
“— EMBL-EBI (@emblebi) December 9, 2021”
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E3 New AlphaFold DB release with 200+ million predicted structures EMBL-EBI (JDispatcher blog) · 28 July 2022
“The initial release provided ~350,000 structure models including 20 biologically-significant organisms such as E.coli, fruit fly, mouse, zebrafish, malaria parasite and tuberculosis bacteria.”
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E4 Tool: AlphaFold UCSF Resource for Biocomputing, Visualization, and Informatics (RBVI) · 4 October 2021
“Version 1 (Jul 2021, used by ChimeraX 1.3): ~360,000 sequences,”
Reasoning
The evidence shows the database started at about 350,000–360,000 structures [E3][E4]. An EMBL-EBI tweet dated 9 December 2021 says it was more than doubled [E1][E2]. No evidence item gives the total after the update, so the evidence cannot show whether it passed 800,000.
Cite this claim
Demis Hassabis, “The AlphaFold database doubled in size on 9 December 2021 and now includes more than 800,000 structures.” (said 9 December 2021). Verdict: unresolvable. Reliability API, claim c_e67c2477a9a2, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_e67c2477a9a2
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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“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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“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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“Our AlphaProteo model can design novel, high-strength protein binders that target diverse molecules – including those associated with cancer and diabetes.”
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