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Jumper et al. (Nature, published online 15 July 2021) report that in CASP14 AlphaFold structures had a median backbone accuracy of 0.96 Å r.m.s.d.95 whereas the next best performing method had a median backbone accuracy of 2.8 Å r.m.s.d.95. Copy claim link
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Provision Statement · provision ID mod-af2-casp14-accuracy Date 2021-07-15 · publication Records dated 2021 → Scope and limits The authors' own report of their CASP14 entry, measured on CASP domains at backbone level, with the confidence intervals given in the paper and not reproduced here. The CASP organisers' statements about CASP14, in their overview of the round, are recorded separately.
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Highly accurate protein structure prediction with AlphaFold ↗ Nature · 2021-07-15
Archived copy, captured 2026-09-23: Highly accurate protein structure prediction with AlphaFold ↗
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Source excerpt “AlphaFold structures had a median backbone accuracy of 0.96 Å r.m.s.d.95” Location in source main text, section on CASP14 results
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-30
Source details and check notes Authors John Jumper; Richard Evans; Alexander Pritzel; Tim Green; Michael Figurnov; Olaf Ronneberger; Kathryn Tunyasuvunakool; Russ Bates; Augustin Žídek; Anna Potapenko; Alex Bridgland; Clemens Meyer; Simon A. A. Kohl; Andrew J. Ballard; Andrew Cowie; Bernardino Romera-Paredes; Stanislav Nikolov; Rishub Jain; Jonas Adler; Trevor Back; Stig Petersen; David Reiman; Ellen Clancy; Michal Zielinski; Martin Steinegger; Michalina Pacholska; Tamas Berghammer; Sebastian Bodenstein; David Silver; Oriol Vinyals; Andrew W. Senior; Koray Kavukcuoglu; Pushmeet Kohli; Demis Hassabis Version Nature 596, 583–589 (2021), DOI 10.1038/s41586-021-03819-2; version of record HTML. Canonical address Open the canonical source ↗ Accessed 2026-09-28 Language English (en) Archive copy Open archived copy, captured 2026-09-23: Highly accurate protein structure prediction with AlphaFold ↗ . Captured 1896 days after the recorded publication date. An archive copy shows only what the archive retrieved on 2026-09-23. It does not prove what the page said earlier, and it can differ from the copy checked on 2026-09-28.Attribution John Jumper; Richard Evans; Alexander Pritzel; et al.. Highly accurate protein structure prediction with AlphaFold. 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 (11 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 page prints the unit as "r.m.s.d.95" with a subscript rendered inline. No human editorial review. primary source Supports the claim
Highly accurate protein structure prediction with AlphaFold ↗ Nature · 2021-07-15
Archived copy, captured 2026-09-23: Highly accurate protein structure prediction with AlphaFold ↗
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Cite the original source Cite the original document, not Selekoa. Check these details against it.
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Source excerpt “whereas the next best performing method had a median backbone accuracy of 2.8 Å r.m.s.d.95” Location in source same section
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-30
Source details and check notes Authors John Jumper; Richard Evans; Alexander Pritzel; Tim Green; Michael Figurnov; Olaf Ronneberger; Kathryn Tunyasuvunakool; Russ Bates; Augustin Žídek; Anna Potapenko; Alex Bridgland; Clemens Meyer; Simon A. A. Kohl; Andrew J. Ballard; Andrew Cowie; Bernardino Romera-Paredes; Stanislav Nikolov; Rishub Jain; Jonas Adler; Trevor Back; Stig Petersen; David Reiman; Ellen Clancy; Michal Zielinski; Martin Steinegger; Michalina Pacholska; Tamas Berghammer; Sebastian Bodenstein; David Silver; Oriol Vinyals; Andrew W. Senior; Koray Kavukcuoglu; Pushmeet Kohli; Demis Hassabis Version Nature 596, 583–589 (2021), DOI 10.1038/s41586-021-03819-2; version of record HTML. Canonical address Open the canonical source ↗ Accessed 2026-09-28 Language English (en) Archive copy Open archived copy, captured 2026-09-23: Highly accurate protein structure prediction with AlphaFold ↗ . Captured 1896 days after the recorded publication date. An archive copy shows only what the archive retrieved on 2026-09-23. It does not prove what the page said earlier, and it can differ from the copy checked on 2026-09-28.Attribution John Jumper; Richard Evans; Alexander Pritzel; et al.. Highly accurate protein structure prediction with AlphaFold. 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 (15 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. 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. An exact framework edition, or another document with an exact expression, states one provision: a capability threshold or risk level and its trigger, a required safeguard or action, a decision authority (who decides, recommends, can overrule or is informed), a stated exception, or another statement of its content, such as a licence term or a prospectus statement. The passage records what the document says, not implementation, compliance or effectiveness. Provisions with the same key align across editions of one family.
Date. Online publication date of the paper; the CASP14 assessment itself was held in 2020.
Record ID aib-mod-af2-casp14-accuracy