{"id":"AIBD-1220","title":"Google DeepMind and EMBL-EBI's AlphaFold Protein Structure Database has been used by over 3 million researchers in more than 190 countries since 2021","summary":"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.","date_observed":"2025-11-25","date_basis":"source publication","date_precision":"day","benefit_status":"reported","account":"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.","category":"program","unexpected":false,"purpose":"Google DeepMind and EMBL-EBI built the AlphaFold Protein Structure Database to give researchers open access to the protein structures that AlphaFold predicts.","system":"AlphaFold Protein Structure Database (AlphaFold DB)","model_version":"AlphaFold 2","developer":"Google DeepMind (AlphaFold) with EMBL's European Bioinformatics Institute (database)","deployer":"EMBL's European Bioinformatics Institute (EMBL-EBI), which hosts the database","location":"Hinxton, United Kingdom, with users in more than 190 countries","domain":"Life sciences research","segment":null,"benefit_type":"Improved Knowledge Discovery","work_activities":["4.A.2.a.4","4.A.3.b.6"],"taxonomy_note":null,"registry_ids":{},"ratings":[{"group":"personal","depth":2,"reason":"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."},{"group":"societal","depth":null,"reason":"The sources count users, countries and research papers, and they document no change across a population."}],"ai_role":{"status":"unassessed","statement":"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."},"evidence":[{"kind":"news report","citation":"Kerem Gülen. DeepMind's AlphaFold database hits 3 million researchers milestone. Dataconomy, 17 February 2026.","title":"DeepMind's AlphaFold database hits 3 million researchers milestone","url":"https://dataconomy.com/2026/02/17/deepminds-alphafold-database-hits-3-million-researchers-milestone/","date":"2026-02-17","written_by":"makers","quote":"Google DeepMind announced its AlphaFold Protein Database now serves over 3 million researchers across 190 countries."},{"kind":"news report","citation":"Ewen Callaway. AlphaFold 'goes viral': database adds protein complexes of common viruses. Nature, 24 September 2026 (Wayback Machine copy).","title":"AlphaFold 'goes viral': database adds protein complexes of common viruses","url":"https://web.archive.org/web/2026/https://www.nature.com/articles/d41586-026-03022-1","date":"2026-09-24","written_by":"makers","quote":"Although the database, which has more than three million users, holds predicted structures for most known proteins, viruses have been a blind spot"},{"kind":"other","citation":"Google DeepMind. AlphaFold: five years of impact. Blog post, 25 November 2025.","title":"AlphaFold: five years of impact","url":"https://deepmind.google/blog/alphafold-five-years-of-impact/","date":"2025-11-25","written_by":"makers","quote":"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."},{"kind":"press release","citation":"EMBL. EMBL-EBI and Google DeepMind renew partnership and release update to AlphaFold Database. EMBL news, 7 October 2025.","title":"EMBL-EBI and Google DeepMind renew partnership and release update to AlphaFold Database","url":"https://www.embl.org/news/science-technology/google-deepmind-partnership-renewal/","date":"2025-10-07","written_by":"makers","quote":"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."}],"replication":{"produced_by":["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."],"must_hold":["The database must stay online and open to all users.","The predictions must keep pace with new protein sequences in UniProt."],"echoes":[]},"paired_incident":null,"headline":"*AlphaFold database* serves 3 million researchers in 190 countries","metric":"over 3 million researchers in more than 190 countries","comparator":null,"later":{"status":"persisted","date":"2026-02-17","note":"In February 2026, Dataconomy reported that the database held over 240 million predictions and served over 3 million researchers.","quote":"The database contains over 240 million structural predictions, covering nearly all known proteins.","url":"https://dataconomy.com/2026/02/17/deepminds-alphafold-database-hits-3-million-researchers-milestone/"},"benefit_categories":["knowledge_discovery"],"size":{"reach":{"band":5,"fact":"Over 3 million researchers across 190 countries use the database, by DeepMind's count as reported in February 2026.","quote":"Google DeepMind announced its AlphaFold Protein Database now serves over 3 million researchers across 190 countries.","url":"https://dataconomy.com/2026/02/17/deepminds-alphafold-database-hits-3-million-researchers-milestone/","reason":null},"duration":{"band":4,"fact":"The database launched in 2021 and was still in use when DeepMind wrote in November 2025, over four years later.","quote":"In 2021, we launched the AlphaFold Protein Database in partnership with EMBL-EBI, which was a tipping point toward AlphaFold becoming a scientific tool adopted around the world.","url":"https://deepmind.google/blog/alphafold-five-years-of-impact/","reason":null},"distribution":{"band":4,"fact":"Over 1 million of the users are in low- and middle-income countries, by DeepMind's count.","quote":"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.","url":"https://deepmind.google/blog/alphafold-five-years-of-impact/","reason":null},"frequency":{"band":5,"fact":"The database is an online resource with open access for the global scientific community, a service available every day.","quote":"It provides open access for the global scientific community to highly accurate protein structure predictions from the Nobel-prize-winning AlphaFold AI system.","url":"https://www.embl.org/news/science-technology/google-deepmind-partnership-renewal/","reason":null}},"value":null,"developer_country":"United Kingdom","deployer_country":"United Kingdom","unrated_because":null,"brief_notes":null,"brief":null,"confidence":"claimed","shade":"low","claim_status":"The makers' claim","claim_basis":"Sources: two news reports from the makers, the makers' press release and the makers' other source. The cited evidence includes no independent source and no finding by an external body.","case_jurisdictions":["United Kingdom"],"profile":{"case_id":"AIBD-1220","source_ids":["AIBD-1220-source-0001","AIBD-1220-source-0002","AIBD-1220-source-0003","AIBD-1220-source-0004"],"families":{"strategic assessments":{"state":"unresolved","record_ids":[]},"evaluations":{"state":"unresolved","record_ids":[]},"monetary observations":{"state":"unresolved","record_ids":[]},"institutional decisions":{"state":"unresolved","record_ids":[]}},"fields":{"actors[]":{"state":"value_present","value":{"kind":"record_fields","fields":{"developer":"Google DeepMind (AlphaFold) with EMBL's European Bioinformatics Institute (database)","deployer":"EMBL's European Bioinformatics Institute (EMBL-EBI), which hosts the database"}}},"actors[].ownership_control":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"ai_contribution":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"ai_relationship":{"state":"value_present","value":{"kind":"record_fields","fields":{"category":"program","ai_role":{"status":"unassessed","statement":"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."}}}},"assessments[].alternatives":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"assessments[].assessor_date":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"assessments[].depth":{"state":"value_present","value":{"kind":"record_fields","fields":{"ratings":[{"group":"personal","depth":2,"reason":"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."},{"group":"societal","reason":"The sources count users, countries and research papers, and they document no change across a population."}]}}},"assessments[].display_confidence":{"state":"value_present","value":{"kind":"structured","data":{"confidence":"low","evidence_word":"claimed","claim_status":"The makers' claim","basis":"Sources: two news reports from the makers, the makers' press release and the makers' other source. The cited evidence includes no independent source and no finding by an external body.","interpretation":"Existing display rule preserved; the richer outcome-specific confidence question still needs review."}}},"assessments[].rationale":{"state":"value_present","value":{"kind":"record_fields","fields":{"ratings":[{"group":"personal","depth":2,"reason":"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."},{"group":"societal","reason":"The sources count users, countries and research papers, and they document no change across a population."}]}}},"assessments[].rubric_version":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"assessments[].status_basis":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"assessments[].target":{"state":"value_present","value":{"kind":"record_fields","fields":{"ratings":[{"group":"personal","depth":2,"reason":"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."},{"group":"societal","reason":"The sources count users, countries and research papers, and they document no change across a population."}]}}},"availability":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"brief":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"case_kind":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"case_links[]":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"claims[].evidence_links":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"claims[].evidence_strength":{"state":"value_present","value":{"kind":"structured","data":{"answer":"The makers' claim. Sources: two news reports from the makers, the makers' press release and the makers' other source. The cited evidence includes no independent source and no finding by an external body.","evidence_word":"claimed","claim_status":"The makers' claim"}},"display":{"answer":"The makers' claim. Sources: two news reports from the makers, the makers' press release and the makers' other source. The cited evidence includes no independent source and no finding by an external body.","inferred":false},"source_refs":["AIBD-1220-source-0001","AIBD-1220-source-0002","AIBD-1220-source-0003","AIBD-1220-source-0004"]},"claims[].missingness":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"claims[].proposition":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"cross_border_flows[]":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"decisions[].action_outcome":{"state":"unresolved","family":"institutional decisions"},"decisions[].grounds":{"state":"unresolved","family":"institutional decisions"},"decisions[].institution_task":{"state":"unresolved","family":"institutional decisions"},"decisions[].success_criterion":{"state":"unresolved","family":"institutional decisions"},"deployment_stage":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"economics[].amount":{"state":"unresolved","family":"monetary observations"},"economics[].costs[]":{"state":"unresolved","family":"monetary observations"},"economics[].counterfactual":{"state":"unresolved","family":"monetary observations"},"economics[].currency_price_basis":{"state":"unresolved","family":"monetary observations"},"economics[].gross_net":{"state":"unresolved","family":"monetary observations"},"economics[].measure_type":{"state":"unresolved","family":"monetary observations"},"economics[].period_unit":{"state":"unresolved","family":"monetary observations"},"economics[].realization":{"state":"unresolved","family":"monetary observations"},"economics[].recipient_payer":{"state":"unresolved","family":"monetary observations"},"economics[].return_payback":{"state":"unresolved","family":"monetary observations"},"economics[].valuation_method":{"state":"unresolved","family":"monetary observations"},"evaluations[].ai_uplift":{"state":"unresolved","family":"evaluations"},"evaluations[].comparator":{"state":"unresolved","family":"evaluations"},"evaluations[].design":{"state":"unresolved","family":"evaluations"},"evaluations[].effect":{"state":"unresolved","family":"evaluations"},"evaluations[].exposure":{"state":"unresolved","family":"evaluations"},"evaluations[].id":{"state":"unresolved","family":"evaluations"},"evaluations[].measurement_method":{"state":"unresolved","family":"evaluations"},"evaluations[].metric":{"state":"unresolved","family":"evaluations"},"evaluations[].reproduction_materials":{"state":"unresolved","family":"evaluations"},"evaluations[].setting_sample":{"state":"unresolved","family":"evaluations"},"evaluations[].uncertainty_limitations":{"state":"unresolved","family":"evaluations"},"external_references[]":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"follow_up[]":{"state":"value_present","value":{"kind":"record_fields","fields":{"later":{"status":"persisted","date":"2026-02-17","note":"In February 2026, Dataconomy reported that the database held over 240 million predictions and served over 3 million researchers.","quote":"The database contains over 240 million structural predictions, covering nearly all known proteins.","url":"https://dataconomy.com/2026/02/17/deepminds-alphafold-database-hits-3-million-researchers-milestone/"}}}},"human_oversight":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"id":{"state":"value_present","value":{"kind":"record_fields","fields":{"id":"AIBD-1220"}}},"infrastructure_dependencies[]":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"outcomes[].beneficiaries":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"outcomes[].beneficiary_count":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"outcomes[].benefit_type":{"state":"value_present","value":{"kind":"record_fields","fields":{"benefit_type":"Improved Knowledge Discovery"}}},"outcomes[].claim":{"state":"value_present","value":{"kind":"record_fields","fields":{"account":"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.","benefit_type":"Improved Knowledge Discovery"}}},"outcomes[].distribution":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"outcomes[].duration":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"outcomes[].id":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"outcomes[].stakeholder_group":{"state":"value_present","value":{"kind":"record_fields","fields":{"ratings":[{"group":"personal","depth":2,"reason":"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."},{"group":"societal","reason":"The sources count users, countries and research papers, and they document no change across a population."}]}}},"outcomes[].status":{"state":"value_present","value":{"kind":"record_fields","fields":{"benefit_status":"reported"}}},"outcomes[].tradeoffs":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"outcomes[].unexpected":{"state":"value_present","value":{"kind":"record_fields","fields":{"unexpected":false,"purpose":"Google DeepMind and EMBL-EBI built the AlphaFold Protein Structure Database to give researchers open access to the protein structures that AlphaFold predicts."}}},"places[]":{"state":"value_present","value":{"kind":"record_fields","fields":{"location":"Hinxton, United Kingdom, with users in more than 190 countries","developer_country":"United Kingdom","deployer_country":"United Kingdom"}}},"purpose":{"state":"value_present","value":{"kind":"record_fields","fields":{"purpose":"Google DeepMind and EMBL-EBI built the AlphaFold Protein Structure Database to give researchers open access to the protein structures that AlphaFold predicts."}}},"record_dates":{"state":"value_present","value":{"kind":"record_fields","fields":{"date_observed":"2025-11-25","date_basis":"source publication","date_precision":"day","revisions":[{"date":"2026-11-02","change":"Added the benefit with its documented size.","source":"https://dataconomy.com/2026/02/17/deepminds-alphafold-database-hits-3-million-researchers-milestone/","editor":"AIBD"}]}}},"replication.attempts[]":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"replication.conditions":{"state":"value_present","value":{"kind":"record_fields","fields":{"replication":{"produced_by":["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."],"must_hold":["The database must stay online and open to all users.","The predictions must keep pace with new protein sequences in UniProt."],"echoes":[]}}}},"sector":{"state":"value_present","value":{"kind":"record_fields","fields":{"domain":"Life sciences research"}}},"sources[].access_version":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"sources[].citation_locator":{"state":"value_present","value":{"kind":"record_fields","fields":{"evidence":[{"kind":"news report","citation":"Kerem Gülen. DeepMind's AlphaFold database hits 3 million researchers milestone. Dataconomy, 17 February 2026.","title":"DeepMind's AlphaFold database hits 3 million researchers milestone","url":"https://dataconomy.com/2026/02/17/deepminds-alphafold-database-hits-3-million-researchers-milestone/","date":"2026-02-17","written_by":"makers","quote":"Google DeepMind announced its AlphaFold Protein Database now serves over 3 million researchers across 190 countries."},{"kind":"news report","citation":"Ewen Callaway. AlphaFold 'goes viral': database adds protein complexes of common viruses. Nature, 24 September 2026 (Wayback Machine copy).","title":"AlphaFold 'goes viral': database adds protein complexes of common viruses","url":"https://web.archive.org/web/2026/https://www.nature.com/articles/d41586-026-03022-1","date":"2026-09-24","written_by":"makers","quote":"Although the database, which has more than three million users, holds predicted structures for most known proteins, viruses have been a blind spot"},{"kind":"other","citation":"Google DeepMind. AlphaFold: five years of impact. Blog post, 25 November 2025.","title":"AlphaFold: five years of impact","url":"https://deepmind.google/blog/alphafold-five-years-of-impact/","date":"2025-11-25","written_by":"makers","quote":"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."},{"kind":"press release","citation":"EMBL. EMBL-EBI and Google DeepMind renew partnership and release update to AlphaFold Database. EMBL news, 7 October 2025.","title":"EMBL-EBI and Google DeepMind renew partnership and release update to AlphaFold Database","url":"https://www.embl.org/news/science-technology/google-deepmind-partnership-renewal/","date":"2025-10-07","written_by":"makers","quote":"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."}]}}},"sources[].id":{"state":"value_present","value":{"kind":"identifiers","identifiers":["AIBD-1220-source-0001","AIBD-1220-source-0002","AIBD-1220-source-0003","AIBD-1220-source-0004"],"role":"Existing evidence items, in their original order"}},"sources[].language":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"sources[].relationship":{"state":"value_present","value":{"kind":"record_fields","fields":{"evidence":[{"kind":"news report","citation":"Kerem Gülen. DeepMind's AlphaFold database hits 3 million researchers milestone. Dataconomy, 17 February 2026.","title":"DeepMind's AlphaFold database hits 3 million researchers milestone","url":"https://dataconomy.com/2026/02/17/deepminds-alphafold-database-hits-3-million-researchers-milestone/","date":"2026-02-17","written_by":"makers","quote":"Google DeepMind announced its AlphaFold Protein Database now serves over 3 million researchers across 190 countries."},{"kind":"news report","citation":"Ewen Callaway. AlphaFold 'goes viral': database adds protein complexes of common viruses. Nature, 24 September 2026 (Wayback Machine copy).","title":"AlphaFold 'goes viral': database adds protein complexes of common viruses","url":"https://web.archive.org/web/2026/https://www.nature.com/articles/d41586-026-03022-1","date":"2026-09-24","written_by":"makers","quote":"Although the database, which has more than three million users, holds predicted structures for most known proteins, viruses have been a blind spot"},{"kind":"other","citation":"Google DeepMind. AlphaFold: five years of impact. Blog post, 25 November 2025.","title":"AlphaFold: five years of impact","url":"https://deepmind.google/blog/alphafold-five-years-of-impact/","date":"2025-11-25","written_by":"makers","quote":"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."},{"kind":"press release","citation":"EMBL. EMBL-EBI and Google DeepMind renew partnership and release update to AlphaFold Database. EMBL news, 7 October 2025.","title":"EMBL-EBI and Google DeepMind renew partnership and release update to AlphaFold Database","url":"https://www.embl.org/news/science-technology/google-deepmind-partnership-renewal/","date":"2025-10-07","written_by":"makers","quote":"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."}]}}},"sources[].upstream_sources":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"strategic_assessments[]":{"state":"unresolved","family":"strategic assessments"},"summary":{"state":"value_present","value":{"kind":"record_fields","fields":{"summary":"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.","account":"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."}}},"systems[].autonomy_permissions":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"systems[].component_role":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"systems[].deployment_configuration":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"systems[].inputs_outputs":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"systems[].model_name":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"systems[].model_version":{"state":"value_present","value":{"kind":"record_fields","fields":{"model_version":"AlphaFold 2"}}},"systems[].product_name":{"state":"value_present","value":{"kind":"record_fields","fields":{"system":"AlphaFold Protein Structure Database (AlphaFold DB)"}}},"systems[].provider":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"taxonomy_crosswalks[]":{"state":"unresolved","reason":"This is an explicit unresolved assignment: the sources on record do not settle this question."},"title":{"state":"value_present","value":{"kind":"record_fields","fields":{"title":"Google DeepMind and EMBL-EBI's AlphaFold Protein Structure Database has been used by over 3 million researchers in more than 190 countries since 2021","headline":"*AlphaFold database* serves 3 million researchers in 190 countries"}}},"version":{"state":"value_present","value":{"kind":"identifiers","identifiers":["288317a89ef8573bc3ec6666c5d295aae5db77a4ae5f4153a419072c3dcf15d2"],"role":"SHA-256 of the complete public record and its assessments"},"evidence_note":"SHA-256 of the public record, its assessments, and its displayed answers and notes, excluding its own identifier and the derived coverage summary."},"workflow":{"state":"value_present","value":{"kind":"record_fields","fields":{"account":"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.","replication":{"produced_by":["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."],"must_hold":["The database must stay online and open to all users.","The predictions must keep pace with new protein sequences in UniProt."],"echoes":[]}}}}}}}
