source · discovered
Enhanced prediction of protein functional identity through the integration of sequence and structural features
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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Stable ID: fujisan-2024
- areas
- proteins-complexes
- url
- https://pmc.ncbi.nlm.nih.gov/articles/PMC11609699/
- version
- PMC11609699.1
- retrieved at
- 2026-09-15T23:25:00Z
- doi
- 10.1016/j.csbj.2024.11.028
- publication status
- peer_reviewed
- year
- 2024
- artifact sha256
- db33e0542005ffae00cd644dfe697185b94c8823d5aee2768620a6db0c48e56f
- artifact url
- https://www.ebi.ac.uk/europepmc/webservices/rest/PMC11609699/fullTextXML
- artifact retrieved at
- 2026-09-16T10:33:35.728Z
- legacy paper
- id: fujisan-2024; title: Enhanced prediction of protein functional identity through the integration of sequence and structural features; year: 2024; publication status: peer_reviewed; version: PMC11609699.1; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC11609699/; primary domain: proteins-complexes; retrieved utc: 2026-09-15T23:25:00Z; notes: Primary full text via Europe PMC XML; venue: Computational and Structural Biotechnology Journal; PMC ID: PMC11609699.; doi: 10.1016/j.csbj.2024.11.028
- scope decision
- included
- missing metadata
- licence: not_reported_in_legacy_extract