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DeepMind's account of AlphaFold at CASP14 (dated 30 November 2020) states that insights from protein structure predictions could enable more precise work on drug development, complementing existing experimental methods. Copy claim link
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Machine-checked, not reviewed by an editor Stated in source Supported
Supporting evidence: primary · 1 source; Context: primary · 1 source
Date 2020-11-30 · publication Records dated 2020 → Role Articulation Register (kind of text) Nonfiction Scope of the passage A possibility, framed as complementing experimental methods. Scope and limits The record documents what this text states, in its register; it is not evidence that the proposition is true and implies no influence on or from any other text. Stated as a possibility ("could"), of insights from work with a small number of specialist groups. A developer's statement about its own system. The page also quotes third parties on drug discovery; those relays are not recorded here.
The evidence 03 primary source Supports the claim
AlphaFold: a solution to a 50-year-old grand challenge in biology ↗ DeepMind · 2020-11-30
Archived copy, captured 2026-09-27: AlphaFold: a solution to a 50-year-old grand challenge in biology ↗
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Source excerpt “These insights could enable more precise work on drug development, complementing existing experimental methods to find promising treatments faster.” Location in source Section on next steps, paragraph beginning "In the meantime"
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-30
Source details and check notes Authors DeepMind Version November 30, 2020 account with a separately labelled July 2022 update; current HTML inspected 2026-09-28. Canonical address Open the canonical source ↗ Accessed 2026-09-28 Language English (en) Archive copy Open archived copy, captured 2026-09-27: AlphaFold: a solution to a 50-year-old grand challenge in biology ↗ . Captured 2127 days after the recorded publication date. An archive copy shows only what the archive retrieved on 2026-09-27. It does not prove what the page said earlier, and it can differ from the copy checked on 2026-09-28.Attribution DeepMind. AlphaFold: a solution to a 50-year-old grand challenge in biology. Reuse No redistribution licence asserted.. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, AI in biology (research/ai-in-biology). The quotation (19 words) matched the text retrieved for the candidate pack on 2026-10-30. Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. The developer is the primary source for its own statement. A cross-family machine check (2026-10-30, item B106) re-read the record’s sources and found full support. No human editorial review. primary source Supports the claim
AlphaFold: a solution to a 50-year-old grand challenge in biology ↗ DeepMind · 2020-11-30
Archived copy, captured 2026-09-27: AlphaFold: a solution to a 50-year-old grand challenge in biology ↗
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Source excerpt “we're also looking into how protein structure predictions could contribute to our understanding of specific diseases with a small number of specialist groups” Location in source Same paragraph, preceding sentence
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-30
Source details and check notes Authors DeepMind Version November 30, 2020 account with a separately labelled July 2022 update; current HTML inspected 2026-09-28. Canonical address Open the canonical source ↗ Accessed 2026-09-28 Language English (en) Archive copy Open archived copy, captured 2026-09-27: AlphaFold: a solution to a 50-year-old grand challenge in biology ↗ . Captured 2127 days after the recorded publication date. An archive copy shows only what the archive retrieved on 2026-09-27. It does not prove what the page said earlier, and it can differ from the copy checked on 2026-09-28.Attribution DeepMind. AlphaFold: a solution to a 50-year-old grand challenge in biology. Reuse No redistribution licence asserted.. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, AI in biology (research/ai-in-biology). The quotation (23 words) matched the text retrieved for the candidate pack on 2026-10-30. Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. Shows that "these insights" are insights from protein structure predictions. A cross-family machine check (2026-10-30, item B106) re-read the record’s sources and found full support. No human editorial review. primary source Context only
AlphaFold: a solution to a 50-year-old grand challenge in biology ↗ DeepMind · 2020-11-30
Archived copy, captured 2020-12-02: AlphaFold: a solution to a 50-year-old grand challenge in biology ↗
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Paraphrase The post is dated 30 November 2020, and its paragraph beginning “In the meantime” carries the conditional statement that the insights could enable more precise work on drug development.
Location in source Header and the paragraph beginning “In the meantime” of the captured post
Machine-checked · 2026-10-30
Source details and check notes Authors DeepMind Version Internet Archive capture of 2 December 2020, opened by the cross-family machine check on 2026-10-30 (SHA-256 41759d21c2265a52f58f0ccd304db28097c165ca61577f4eb55b9ca9960b55aa). The check reports the header date 30 November 2020 and the conditional drug-development passage in the paragraph beginning “In the meantime”. This admission could not reach the Internet Archive and did not repeat the reading. Canonical address Open the canonical source ↗ Accessed 2026-10-30 Language English (en) Archive copy Open archived copy, captured 2020-12-02: AlphaFold: a solution to a 50-year-old grand challenge in biology ↗ . Captured 2 days after the recorded publication date. An archive copy shows only what the archive retrieved on 2020-12-02. It does not prove what the page said earlier, and it can differ from the copy checked on 2026-10-30.Attribution DeepMind, “AlphaFold: a solution to a 50-year-old grand challenge in biology”, 2020-11-30. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Added at the admission of the AI in biology pack (research/ai-in-biology). The cross-family machine check of 2026-10-30 opened the Internet Archive capture this source names (item B106); this admission could not reach the Internet Archive and did not repeat the reading. The passage is Selekoa’s paraphrase of what the check reported, not a quotation. No human editorial review. Status and meaning Editorial status. Not reviewed by an editor . An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.
Relation. A passage of the document meets the proposition’s criterion. The record documents what the text states, in its register (fiction and satire are labelled); it is not evidence that the proposition is true and implies no influence on or from another text.
Date. Date printed on the page. The quotations are those of the copy served on 2026-10-30, which carries a July 2022 update notice at its head; the cross-family check of 2026-10-30 found the passage and the header date of 30 November 2020 in the Internet Archive capture of 2 December 2020, recorded as a source of its own.
Record ID aib-arg-p1-deepmind-2020