source · discovered
Protein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning
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.
Download this releaseTechnical metadata and extraction receipts
Stable ID: clape-smb-2024
- areas
- proteins-complexes
- url
- https://pmc.ncbi.nlm.nih.gov/articles/PMC11542454/
- version
- version of record
- retrieved at
- 2026-09-15T23:37:05Z
- doi
- 10.1186/s13321-024-00920-2
- publication status
- peer_reviewed
- year
- 2024
- artifact sha256
- 215919244c3dd2dfb0b55fce91c211430fd8d4aee4bb28bd03eab9f4feb73e62
- artifact url
- https://www.ebi.ac.uk/europepmc/webservices/rest/PMC11542454/fullTextXML
- artifact retrieved at
- 2026-09-16T10:41:06Z
- legacy paper
- id: clape-smb-2024; title: Protein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning; year: 2024; publication status: peer_reviewed; version: version of record; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC11542454/; primary domain: proteins-complexes; retrieved utc: 2026-09-15T23:37:05Z; notes: Primary full text verified via Europe PMC fullTextXML; venue: Journal of Cheminformatics; PMC ID: PMC11542454. ESM-2 feature extractor embedded in CLAPE-SMB; score belongs to combined downstream system.; doi: 10.1186/s13321-024-00920-2
- scope decision
- included
- missing metadata
- licence: not_reported_in_legacy_extract