What happened
Google DeepMind and EMBL's European Bioinformatics Institute launched the AlphaFold Protein Structure Database in 2021. It holds protein structures predicted by AlphaFold 2, an AI system. In July 2022 the partners released predictions for more than 200 million proteins, nearly all catalogued proteins known to science. EMBL-EBI hosts the database with open access for the global scientific community. On 25 November 2025, DeepMind wrote that the database had been used by over 3 million researchers in more than 190 countries. Over 1 million of those users were in low- and middle-income countries, DeepMind wrote. EMBL gave the same three million figure on 7 October 2025, when it renewed the partnership. In February 2026, Dataconomy reported that DeepMind's leaders put the count at over 3 million researchers across 190 countries. They said that over one-third of users live in low- and middle-income nations and that the database holds over 240 million predictions. Nature reported in September 2026 that the database has more than three million users. The user counts come from the makers, and no source compares research done with and without the database.
Sources
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News report, based on the makers' account.
Kerem Gülen. DeepMind's AlphaFold database hits 3 million researchers milestone. Dataconomy, 17 February 2026.
Google DeepMind announced its AlphaFold Protein Database now serves over 3 million researchers across 190 countries.
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News report, based on the makers' account.
Ewen Callaway. AlphaFold 'goes viral': database adds protein complexes of common viruses. Nature, 24 September 2026 (Wayback Machine copy).
Although the database, which has more than three million users, holds predicted structures for most known proteins, viruses have been a blind spot
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Press release, by the makers.
EMBL. EMBL-EBI and Google DeepMind renew partnership and release update to AlphaFold Database. EMBL news, 7 October 2025.
The AlphaFold Database contains protein structure predictions for over 200 million proteins, and has been used by over three million people in over 190 countries.
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Other, by the makers.
Google DeepMind. AlphaFold: five years of impact. Blog post, 25 November 2025.
It has been used by over 3 million researchers in more than 190 countries, including over 1 million users in low- and middle-income countries.
Details
AI system
- Reported configuration
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AlphaFold 2
- Workflow
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DeepMind predicted the structures with AlphaFold 2, and EMBL-EBI hosts them as an open database. The database is synchronised with the UniProt sequence knowledgebase and offers web pages, bulk downloads and an API.
Follow-up
- Conditions for replication
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The database must stay online and open to all users. The predictions must keep pace with new protein sequences in UniProt.
The entry
- Sector
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Life sciences research.
- Purpose
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Google DeepMind and EMBL-EBI built the AlphaFold Protein Structure Database to give researchers open access to the protein structures that AlphaFold predicts.
Cite this benefit
Peter H. Vartanian. (2026). AlphaFold database serves 3 million researchers in 190 countries (AIBD-1220). Artificial Intelligence Benefits Database. https://petervartanian.xyz/aibd/records/AIBD-1220.html (archived at https://doi.org/10.7910/DVN/AADSII)