DeepMind and EMBL-EBI launched the AlphaFold Protein Structure Database, the most complete and accurate picture of the human proteome to date, more than doubling known high-accuracy human protein structures.

Judge as of 2021-07-22. True: DeepMind and EMBL-EBI launched the AlphaFold Protein Structure Database around that date, covering about the whole human proteome, and the high-confidence human structures it added more than doubled the share of residues or proteins that previously had experimental structures (e.g. Tunyasuvunakool et al., Nature 2021). Mostly true: the launch happened as stated, but the 'more than doubling' figure holds only on a narrower measure, or comes close to doubling without exceeding it. Mixed: the launch happened, but the 'most complete and accurate' or 'more than doubling' parts are substantially unsupported. Mostly false: the database launched, but the coverage claims are clearly overstated. False: no such joint launch took place.

Set before the research began.

1. E1 Highly accurate protein structure prediction for the human proteome - Nature Nature (Nature Publishing Group) · 22 July 2021 Own record

   “Of the human proteome, 35.7% of total residues fall within the highest accuracy band (corresponding to 38.6% of residues for which a prediction was produced) (Fig. 1c). This is double the number of residues covered by an experimental structure.”

2. E2 Highly accurate protein structure prediction for the human proteome - Nature Nature (Nature Publishing Group) · 22 July 2021 Own record

   “After decades of effort, 17% of the total residues in human protein sequences are covered by an experimentally determined structure1. Here we markedly expand the structural coverage of the proteome by applying the state-of-the-art machine learning method, AlphaFold2, at a scale that covers almost the entire human proteome (98.5% of human proteins).”

3. E3 DeepMind and EMBL release the most complete database of predicted 3D structures of human proteins | EMBL EMBL (European Molecular Biology Laboratory) · 22 July 2021

   “The database dramatically expands the accumulated knowledge of protein structures, more than doubling the number of high-accuracy human protein structures available to researchers.”

4. E4 Accessible 3D protein models to accelerate scientific discovery EMBL-EBI · 22 July 2021

   “In collaboration with EMBL-EBI, it has made the AlphaFold protein predictions, source code and methodology freely and, crucially, openly available to the global scientific community through the AlphaFold database.”

EMBL and EMBL-EBI both reported on 2021-07-22 that DeepMind, working with EMBL-EBI, had released the AlphaFold Protein Structure Database (E3, E4). EMBL's announcement says the database more than doubled the number of high-accuracy human protein structures (E3). The Nature paper says the predictions cover 98.5% of human proteins (E2). It also puts 35.7% of human residues in the highest-accuracy band, against 17% previously covered by experimental structures (E1, E2). That is about 2.1 times the earlier coverage, so it meets the residue-based doubling test in the criteria.