source · discovered

MegSite: an accurate nucleic acid-binding residue prediction method based on multimodal protein language model

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

No supporting source is linked yet.

Technical metadata and extraction receipts

Stable ID: megsite-2025

areas: proteins-complexes
url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12496013/
version: journal full text in PMC
retrieved at: 2026-09-15T23:33:26Z
doi: 10.1093/bib/bbaf524
publication status: peer_reviewed
year: 2025
artifact sha256: 10d13122331813243d83b84fe6f9294eac7e7c03cde082ebed276191ac41089c
artifact url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12496013/fullTextXML
artifact retrieved at: 2026-09-16T10:38:57.558213+00:00
legacy paper: id: megsite-2025; title: MegSite: an accurate nucleic acid-binding residue prediction method based on multimodal protein language model; year: 2025; publication status: peer_reviewed; version: journal full text in PMC; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12496013/; primary domain: proteins-complexes; retrieved utc: 2026-09-15T23:33:26Z; doi: 10.1093/bib/bbaf524; notes: Numeric result checked against Table 2 in primary full-text XML; journal/source: Briefings in Bioinformatics.
scope decision: included
missing metadata: licence: not_reported_in_legacy_extract

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