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- Jul 15, 202190% CONFIDENCEfrom the source
DeepMind Publishes the AlphaFold 2 Paper
- "Highly accurate protein structure prediction with AlphaFold" was published in Nature on 15 July 2021, volume 596, pages 583-589, as an advance access publication[1][2]
- It came out alongside open source software and a searchable database of species proteomes[2]
- The lead author is John Jumper and the author list runs to more than thirty, most of them at DeepMind in London[1]
- The work built on AlphaFold 1, which placed first overall at the 13th Critical Assessment of Structure Prediction in December 2018[2]
- AlphaFold 3, co-developed with Isomorphic Labs, was announced on 8 May 2024[2]
References 387% CONFIDENCE
The first entry is always the pin's source. Overall confidence is a weighted average of how firmly each reference supports the start and end times used above; a reference counts half as much for every 180 days older than the newest.
- [1]90%nature.com/articles/s41586-021-03819-2nature.com· Posted Sep 22, 2026· Starts Jul 15, 2021 ✓· 33% of score
Nature's own page for the article gives citation_online_date 2021/07/15 and shows "15 July 2021", and Wikipedia[2][3] says the same: "On 15 July 2021, the AlphaFold 2 paper was published in Nature as an advance access publication alongside open source software and a searchable database of species proteomes." The print issue is dated August 2021.
- [2]90%AlphaFolden.wikipedia.org· Added Sep 22, 2026· 33% of score
Dates the Nature[1] paper and the open-sourcing, and gives the competition record behind it: AlphaFold 1 placed first at CASP13 in December 2018, "particularly successful at predicting the most accurate structures for targets rated as most difficult".
- [3]80%Protein structure predictionen.wikipedia.org· Added Sep 22, 2026· 33% of score
The problem the paper largely solved, for what was previously required - crystallography, cryo-EM and NMR - and why a computational answer changes the economics.[1]
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