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Lin et al. (Science, published online 16 March 2023) state that they demonstrate direct inference of full atomic-level protein structure from primary sequence using a large language model, and that this results in an order-of-magnitude acceleration of high-resolution structure prediction. Copy claim link
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Supporting evidence: primary · 1 source
Provision Statement · provision ID mod-esm2-contribution Date 2023-03-16 · publication Records dated 2023 → Scope and limits The authors' statement of their own contribution, read in the abstract as reproduced by PubMed; the journal expression could not be retrieved and the full text was not read.
The evidence 02 primary source Supports the claim
Evolutionary-scale prediction of atomic-level protein structure with a language model (PubMed record) ↗ National Library of Medicine (PubMed), reproducing the Science abstract · 2023-03-16
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Source excerpt “We demonstrate direct inference of full atomic-level protein structure from primary sequence using a large language model.” Location in source abstract as reproduced in the PubMed record
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-30
Source details and check notes Authors Zeming Lin; Halil Akin; Roshan Rao; Brian Hie; Zhongkai Zhu; Wenting Lu; Nikita Smetanin; Robert Verkuil; Ori Kabeli; Yaniv Shmueli; Allan dos Santos Costa; Maryam Fazel-Zarandi; Tom Sercu; Salvatore Candido; Alexander Rives Version Retrieved for the candidate pack on 2026-10-30 (SHA-256 fb6d3954e09ed7704c21063327f72f9f7858cc845d504dbf323f845d75f525f2). PubMed record 36927031 as served on 2026-10-30, carrying the abstract, author list and dates of Science 379(6637):1123–1130; science.org refuses direct retrieval and the article is not in PMC. Its wording can change; earlier wording is not authenticated. Canonical address Open the canonical source ↗ Accessed 2026-10-30 Language English (en) Attribution Zeming Lin, Halil Akin, Roshan Rao, Brian Hie, Zhongkai Zhu, Wenting Lu, Nikita Smetanin, Robert Verkuil, Ori Kabeli, Yaniv Shmueli, Allan dos Santos Costa, Maryam Fazel-Zarandi, Tom Sercu, Salvatore Candido, Alexander Rives, “Evolutionary-scale prediction of atomic-level protein structure with a language model (PubMed record)”, 2023-03-16. 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 (17 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. Abstract text relayed by the PubMed record (PMID 36927031): the authors' own text, so primary; the journal expression was not read. No human editorial review. primary source Supports the claim
Evolutionary-scale prediction of atomic-level protein structure with a language model (PubMed record) ↗ National Library of Medicine (PubMed), reproducing the Science abstract · 2023-03-16
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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 “This results in an order-of-magnitude acceleration of high-resolution structure prediction” Location in source abstract as reproduced in the PubMed record
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-30
Source details and check notes Authors Zeming Lin; Halil Akin; Roshan Rao; Brian Hie; Zhongkai Zhu; Wenting Lu; Nikita Smetanin; Robert Verkuil; Ori Kabeli; Yaniv Shmueli; Allan dos Santos Costa; Maryam Fazel-Zarandi; Tom Sercu; Salvatore Candido; Alexander Rives Version Retrieved for the candidate pack on 2026-10-30 (SHA-256 fb6d3954e09ed7704c21063327f72f9f7858cc845d504dbf323f845d75f525f2). PubMed record 36927031 as served on 2026-10-30, carrying the abstract, author list and dates of Science 379(6637):1123–1130; science.org refuses direct retrieval and the article is not in PMC. Its wording can change; earlier wording is not authenticated. Canonical address Open the canonical source ↗ Accessed 2026-10-30 Language English (en) Attribution Zeming Lin, Halil Akin, Roshan Rao, Brian Hie, Zhongkai Zhu, Wenting Lu, Nikita Smetanin, Robert Verkuil, Ori Kabeli, Yaniv Shmueli, Allan dos Santos Costa, Maryam Fazel-Zarandi, Tom Sercu, Salvatore Candido, Alexander Rives, “Evolutionary-scale prediction of atomic-level protein structure with a language model (PubMed record)”, 2023-03-16. 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 (10 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. Abstract text relayed by the PubMed record (PMID 36927031): the authors' own text, so primary; the journal expression was not read. 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. Electronic publication date as given in the PubMed record; the issue date is 17 March 2023.
Record ID aib-mod-esm2-contribution