source · discovered
Multimodal graph, surface, and language-based model for protein protein interaction prediction
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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Download this releaseTechnical metadata and extraction receipts
Stable ID: gsmformer-ppi-2026
- areas
- proteins-complexes
- url
- https://pmc.ncbi.nlm.nih.gov/articles/PMC12873117/
- version
- journal full text in PMC
- retrieved at
- 2026-09-15T23:33:26Z
- doi
- 10.1038/s41598-025-34758-x
- publication status
- peer_reviewed
- year
- 2026
- artifact sha256
- 9b364b5d73d16f2787f93f78f17dbe98b954ab9c2c64c1df960eec2e615eb3b4
- artifact url
- https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12873117/fullTextXML
- artifact retrieved at
- 2026-09-16T10:38:57.558212+00:00
- legacy paper
- id: gsmformer-ppi-2026; title: Multimodal graph, surface, and language-based model for protein protein interaction prediction; year: 2026; publication status: peer_reviewed; version: journal full text in PMC; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12873117/; primary domain: proteins-complexes; retrieved utc: 2026-09-15T23:33:26Z; doi: 10.1038/s41598-025-34758-x; notes: Numeric result checked against Table 6 in primary full-text XML; journal/source: Scientific Reports.
- scope decision
- included
- missing metadata
- licence: not_reported_in_legacy_extract