source · discovered

Endowing protein language models with structural knowledge

Primary paper retained with its original identifier. Metadata inherited from the literature collection; individual result checks are separate.

Sources and history

Release 2026-09-16-d74d282221a9 · Record review: discovered

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Technical metadata and extraction receipts

Stable ID: pst-2025

areas: proteins-complexes
url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12603367/
version: PMC12603367.1
retrieved at: 2026-09-15T23:25:00Z
doi: 10.1093/bioinformatics/btaf582
publication status: peer_reviewed
year: 2025
artifact sha256: c21ad593de589a7188ca86a8b7ce617e301d48dd939ecc7da03efb22cbe8d7a3
artifact url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12603367/fullTextXML
artifact retrieved at: 2026-09-16T10:41:16.527633+00:00
legacy paper: id: pst-2025; title: Endowing protein language models with structural knowledge; year: 2025; publication status: peer_reviewed; version: PMC12603367.1; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12603367/; primary domain: proteins-complexes; retrieved utc: 2026-09-15T23:25:00Z; notes: Primary full text via Europe PMC XML; venue: Bioinformatics; PMC ID: PMC12603367.; doi: 10.1093/bioinformatics/btaf582
scope decision: included
missing metadata: licence: not_reported_in_legacy_extract

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