source · discovered
The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep 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
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Stable ID: antibody-deamidation-plm-2024
- areas
- proteins-complexes
- url
- https://pmc.ncbi.nlm.nih.gov/articles/PMC11417914/
- version
- journal full text in PMC
- retrieved at
- 2026-09-15T23:33:26Z
- doi
- 10.3390/antib13030074
- publication status
- peer_reviewed
- year
- 2024
- artifact sha256
- aa049f6d78e29540ba902a0d3b7f53d49e9833e4dad9869f79ac27664e8c150b
- artifact url
- https://www.ebi.ac.uk/europepmc/webservices/rest/PMC11417914/fullTextXML
- artifact retrieved at
- 2026-09-16T10:33:38.478Z
- legacy paper
- id: antibody-deamidation-plm-2024; title: The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning; year: 2024; publication status: peer_reviewed; version: journal full text in PMC; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC11417914/; primary domain: proteins-complexes; retrieved utc: 2026-09-15T23:33:26Z; doi: 10.3390/antib13030074; notes: Numeric result checked against Table 1 in primary full-text XML; journal/source: Antibodies.
- scope decision
- included
- missing metadata
- licence: not_reported_in_legacy_extract