Research into the 20 organisms in the database has been the subject of countless papers and major breakthroughs and has deepened understanding of life.
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
The claim: the 20 organisms in the July 2021 AlphaFold Protein Structure Database release have been extensively studied, with many papers and major breakthroughs that deepened understanding of life. 'Countless' and 'numerous' are rhetorical and are read as 'very many'. TRUE: the organisms in that release (human plus 20 model organisms) are mainly well-established model or key organisms (such as E. coli, yeast, fruit fly, C. elegans, zebrafish, mouse, Arabidopsis), each with a large research literature, and many of them are linked to recognised major discoveries. MOSTLY TRUE: this holds for the large majority of the organisms, but a few are niche species with modest literatures. MIXED: only about half of the organisms fit this description. MOSTLY FALSE: most of the organisms are little studied, and only a few have major research histories. FALSE: the organisms are mostly obscure and have no notable research record, or the release did not contain these organisms.
Set before the research began.
Evidence (3)
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E1 DeepMind and EMBL release the most complete database of predicted 3D structures of human proteins | EMBL EMBL (joint announcement with DeepMind) · 22 July 2021
“In addition to the human proteome, the database launches with ~350,000 structures including 20 biologically-significant organisms such as E.coli, fruit fly, mouse, zebrafish, malaria parasite and tuberculosis bacteria. Research into these organisms has been the subject of countless research papers and numerous major breakthroughs.”
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E2 Model Organisms - Topic | Lindau Mediatheque Lindau Nobel Laureate Meetings (Lindau Mediatheque) · 1 September 2022
“A huge amount of Nobel Prize-winning research was performed in model organisms. In fact, according to the reckoning of the Foundation for Biomedical Research, 96 of the 108 recipients of the Nobel Prize in Physiology or Medicine used model organisms in their research”
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E3 DeepMind's AI predicts structures for a vast trove of proteins Nature · 22 July 2021
“AlphaFold neural network produced a ‘totally transformative’ database of more than 350,000 structures from Homo sapiens and 20 model organisms.”
Reasoning
The evidence names six of the 20 organisms (E1) and describes the set as model organisms (E3), and it links model organisms in general to Nobel-winning research (E2). No independent item covers the research record of each organism or identifies the remaining 14, so the evidence cannot tell how many of the organisms have large research literatures, which the criteria require.
Cite this claim
Demis Hassabis, “Research into the 20 organisms in the database has been the subject of countless papers and major breakthroughs and has deepened understanding of life.” (said 22 July 2021). Verdict: unresolvable. Reliability API, claim c_8f324095e269, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_8f324095e269
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.