AlphaFold2 is assessed blind at CASP14
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At the fourteenth Critical Assessment of Structure Prediction, AlphaFold2 produced predictions against sequences whose experimentally determined structures had been solved but withheld, and was scored by independent assessors. The median domain GDT_TS is reported at 92.4, including on the free-modelling targets where no related structure was available to copy from — a level the assessment community described as competitive with experimental determination for most targets. The evidential design is the point: the claimant did not choose the targets, could not have trained on the answers, and did not do the scoring.
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Connections · 4
- AlphaFoldconcerns
- CASP — Critical Assessment of Structure Predictionconcerns
- John Jumperconcerns
- Google DeepMindconcerns
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Assembled from 38 blocks · 1 evidence · 43 related
- Story
- At the fourteenth Critical Assessment of Structure Prediction, AlphaFold2 produced predictions against sequences whose experimentally determined structures had been solved but withheld, and was scored by independent assessors. The median domain GDT_TS is reported at 92.4, including on the free-modelling targets where no related structure was available to copy from — a level the assessment community described as competitive with experimental determination for most targets. The evidential design is the point: the claimant did not choose the targets, could not have trained on the answers, and did not do the scoring.
- Knowledge
- CASP — Critical Assessment of Structure Prediction
- AlphaFold
- John Jumper
- Google DeepMind
- AlphaFold2 is assessed blind at CASP14
- Connections
- AlphaFold
- CASP — Critical Assessment of Structure Prediction
- John Jumper
- Google DeepMind
- CASP — Critical Assessment of Structure Prediction
- Google DeepMind
- John Jumper
- Deep learning
- AlphaFold Protein Structure Database
- AlphaFold2 is assessed blind at CASP14
- AlphaFold2 is published and the database opens
- The AlphaFold database expands to over 200 million structures
- The Nobel Prize in Chemistry recognises protein structure prediction
- AlphaFold
- The difficulty of evaluating machine learning systems
- AlphaFold2 is assessed blind at CASP14
- AlphaFold
- AlphaFold2 is assessed blind at CASP14
- AlphaFold2 is published and the database opens
- The Nobel Prize in Chemistry recognises protein structure prediction
- AlphaFold
- GNoME and the materials-discovery claim
- London
- AlphaGo defeats Lee Sedol in Seoul
- AlphaFold2 is assessed blind at CASP14
- GNoME is announced as 2.2 million new crystal structures
- GenCast is published with a like-for-like comparison against an operational ensemble
- Evidence
- AlphaFold2 predicts protein structure from sequence at accuracy competitive with experimental determination for most targets, as assessed blind at CASP14 in 2020, where predictions are reported to have achieved a median domain GDT_TS of 92.4 including on free-modelling targets. V55 verification basis: the paper was NOT fetched — nature.com is blocked to this session — but search results carried the title, journal, volume 596 and pages 583–589 and attributed them to this paper, and carried the CASP14 accuracy characterisation. The 92.4 median GDT_TS figure is attributed in retrieved summaries to the CASP14 assessment literature rather than to this paper, and a curator should confirm which document reports it before it is quoted as the paper's own statistic.
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