source · discovered

MULAN: multimodal protein language model for sequence and structure encoding

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

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

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Technical metadata and extraction receipts

Stable ID: mulan-2025

areas: proteins-complexes
url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12452268/
version: journal full text in PMC
retrieved at: 2026-09-15T23:33:26Z
doi: 10.1093/bioadv/vbaf117
publication status: peer_reviewed
year: 2025
artifact sha256: 771a9a26ebda6f49ea266540e8dd6e6de0cbaef724de818ca6124a5f9c50d350
artifact url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12452268/fullTextXML
artifact retrieved at: 2026-09-16T10:38:57.558217+00:00
legacy paper: id: mulan-2025; title: MULAN: multimodal protein language model for sequence and structure encoding; year: 2025; publication status: peer_reviewed; version: journal full text in PMC; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12452268/; primary domain: proteins-complexes; retrieved utc: 2026-09-15T23:33:26Z; doi: 10.1093/bioadv/vbaf117; notes: Numeric result checked against Table 2. in primary full-text XML; journal/source: Bioinformatics Advances.
scope decision: included
missing metadata: licence: not_reported_in_legacy_extract

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