Skip to content

AlphaFold database serves 3 million researchers in 190 countries

The AlphaFold Protein Structure Database, launched in 2021, has been used by over 3 million researchers in more than 190 countries, over 1 million of them in low- and middle-income countries.

  • 2 for a person

    Over 3 million researchers, by the makers' count, gained open access to predicted structures for more than 200 million proteins, a measurable improvement in what they can study.

  • Not rated society

    The sources count users, countries and research papers, and they document no change across a population.

Depth runs from 1, a small gain, to 5, a life saved.

Status
Realized benefit.
Evidence

foundstudiedreportedclaimed, the grade of this benefit

Only the makers support the benefit.

Size

0.60 =2+5+4+420×3+510

Scale2The deepest rating above
Reach5Over 3 million researchers across 190 countries use the database, by DeepMind's count as reported in February 2026. Source
Duration4The database launched in 2021 and was still in use when DeepMind wrote in November 2025, over four years later. Source
Distribution4Over 1 million of the users are in low- and middle-income countries, by DeepMind's count. Source
Probability3Realized.
Frequency5The database is an online resource with open access for the global scientific community, a service available every day. Source
The system’s part
Not isolated. AlphaFold 2 produced the predicted structures and the database delivers them. The sources count users and countries, and they do not compare research done with and without the database.
Later
Persisted, 17 February 2026. In February 2026, Dataconomy reported that the database held over 240 million predictions and served over 3 million researchers.
Type of benefit
Improved Knowledge Discovery
System
AlphaFold Protein Structure Database (AlphaFold DB)
Made by
Google DeepMind (AlphaFold) with EMBL's European Bioinformatics Institute (database)
Used by
EMBL's European Bioinformatics Institute (EMBL-EBI), which hosts the database
Where
Hinxton, United Kingdom, with users in more than 190 countries
Date
, when the source was published
Kind
Program
Broad benefit
Knowledge discovery

Sources

  1. 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.
  2. 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
  3. 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.
  4. 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

AlphaFold 2

Workflow

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

The database must stay online and open to all users. The predictions must keep pace with new protein sequences in UniProt.

The entry

Sector

Life sciences research.

Purpose

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)

BibTeX Data What the fields mean