Claim · 2023-03-16 · publication · Stated in source · Supported

Lin et al. (Science, 16 March 2023) state that they constructed the ESM Metagenomic Atlas by predicting structures for more than 617 million metagenomic protein sequences, including more than 225 million predicted with high confidence.

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What it connects

Evolutionary-scale prediction of atomic-level protein structure with a language model → states provision → ESM Metagenomic Atlas: structures predicted for more than 617 million sequences

Where it appears

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Claim and evidence

Evolutionary-scale prediction of atomic-level protein structure with a language modelstates provision ↓ESM Metagenomic Atlas: structures predicted for more than 617 million sequences

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Provision: Statement · provision ID mod-esm2-metagenomic-atlas
Date: 2023-03-16 · publication Records dated 2023 →

Scope and limitsThe authors' own counts and their own confidence measure; high confidence is a model estimate, not experimental validation.

The evidence 01

primary sourceSupports 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 apply this capability to construct the ESM Metagenomic Atlas by predicting structures for >617 million metagenomic protein sequences, including >225 million that are predicted with high confidence”

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 (28 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. Date of the paper making the statement.

Record ID aib-mod-esm2-metagenomic-atlas