Claim · 2021-04-05 · publication · Stated in source · Supported

Alexander Rives is credited as the lead-listed author of ‘Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences’ (PNAS, 2021).

One recorded claim. The claim panel gives its qualification, the source passages with their place in each source, and how it was checked.

What it connects

Alexander Rives → authored → Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences

Where it appears

No collection page holds this claim. It is listed with its records in the explorer.

Claim and evidence

Alexander Rivesauthored ↓Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2021-04-05 · publication Records dated 2021 →

Scope and limitsCo-authorship as credited; not sole credit, and not a statement about any individual's contribution beyond what is quoted. The paper lists affiliations with Facebook AI Research and New York University; these are not recorded as employment.

The evidence 02

primary sourceSupports the claim

Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences

Proceedings of the National Academy of Sciences (open access copy in PubMed Central) · 2021-04-05

Cite the original source

Cite the original document, not Selekoa. Check these details against it.

Source excerpt

“Find articles by Alexander Rives”

Location in source author list

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-30

Source details and check notes

Authors: Alexander Rives; Joshua Meier; Tom Sercu; Siddharth Goyal; Zeming Lin; Jason Liu; Demi Guo; Myle Ott; C. Lawrence Zitnick; Jerry Ma; Rob Fergus
Version: Retrieved for the candidate pack on 2026-10-30 (SHA-256 5a365c9b9bca1d0cb6065822636366ef838a8192d09787229202ea2c5628b236). PMC8053943 copy of PNAS 118(15):e2016239118.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-30
Language: English (en)
Attribution: Alexander Rives, Joshua Meier, Tom Sercu, Siddharth Goyal, Zeming Lin, Jason Liu, Demi Guo, Myle Ott, C. Lawrence Zitnick, Jerry Ma, Rob Fergus, “Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences”, 2021-04-05.
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: Candidate pack passage, AI in biology (research/ai-in-biology). The quotation (5 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.

primary sourceSupports the claim

Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences

Proceedings of the National Academy of Sciences (open access copy in PubMed Central) · 2021-04-05

Cite the original source

Cite the original document, not Selekoa. Check these details against it.

Source excerpt

“A.R., J. Meier, T.S., S.G., Z.L., M.O., C.L.Z., J. Ma, and R.F. designed research”

Location in source Author contributions

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-30

Source details and check notes

Authors: Alexander Rives; Joshua Meier; Tom Sercu; Siddharth Goyal; Zeming Lin; Jason Liu; Demi Guo; Myle Ott; C. Lawrence Zitnick; Jerry Ma; Rob Fergus
Version: Retrieved for the candidate pack on 2026-10-30 (SHA-256 5a365c9b9bca1d0cb6065822636366ef838a8192d09787229202ea2c5628b236). PMC8053943 copy of PNAS 118(15):e2016239118.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-30
Language: English (en)
Attribution: Alexander Rives, Joshua Meier, Tom Sercu, Siddharth Goyal, Zeming Lin, Jason Liu, Demi Guo, Myle Ott, C. Lawrence Zitnick, Jerry Ma, Rob Fergus, “Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences”, 2021-04-05.
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: Candidate pack passage, AI in biology (research/ai-in-biology). The quotation (14 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. Authorship as credited in the document. Does not imply sole authorship.

Date. Date in the PubMed Central header (Proc Natl Acad Sci U S A. 2021 Apr 5;118(15)); the kind of this date is not stated there and the paper is dated by its own record.

Record ID aib-ppl-rives-esm1b