result · source checked
0.944 accuracy
ESM-2 650M embeddings + classifier · accuracy · antibody peptide-mapping training dataset
- Tested model
- ESM-2 650M embeddings + classifier
- Task or benchmark
- antibody deamidation-site prediction
- Dataset
- antibody peptide-mapping training dataset
- Procedure
- global contextual embeddings only
- Evaluation
- ESM-2 650M embeddings + classifier: antibody deamidation-site prediction
- Evidence
- Author-reported evaluation · source checkedThe Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning · Table 1, Global embeddings only row, Accuracy column
A source-checked result verifies the numerical transcription, not every model or protocol detail. Evaluation metadata: needs review. Source checked does not mean independently reproduced.
Evaluation results
Release 2026-09-16-d74d282221a9 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| ESM-2 650M embeddings + classifier: antibody deamidation-site prediction Model: ESM-2 650M embeddings + classifier · Benchmark: antibody deamidation-site prediction · Dataset: antibody peptide-mapping training dataset global contextual embeddings only Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.944 accuracy Unit: fraction · Direction: unknown | Uncertainty: ± 0.012 Scored: Not reported · Eligible: Not reported | source checkedThe Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning · Table 1, Global embeddings only row, Accuracy column Source checking is not independent reproduction. |
Sources and history
Release 2026-09-16-d74d282221a9 · Record review: source checked
- The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning · Original source · journal full text in PMC
Technical metadata and extraction receipts
Stable ID: b2-antibody-deamidation-plm-2024
- areas
- proteins-complexes
- tasks
- antibody deamidation-site prediction
- printed value
- 0.944
- numeric value
- 0.944
- metric
- accuracy
- metric direction
- unknown
- unit
- fraction
- uncertainty
- ± 0.012
- source locator
- Table 1, Global embeddings only row, Accuracy column
- review
- method: primary_xml_exact_label_cell_check; reviewer: rewire deterministic table checker v1; reviewed at: 2026-09-16T10:33:38.478Z; notes: Exact row/header labels and numeric cell matched. Check verifies transcription, not experimental correctness.; evidence: Table 1, Global embeddings only row, Accuracy column; cell: 0.944 ± 0.012; artifact sha256: aa049f6d78e29540ba902a0d3b7f53d49e9833e4dad9869f79ac27664e8c150b; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC11417914/fullTextXML
- legacy id
- b2-antibody-deamidation-plm-2024
- legacy row
- id: b2-antibody-deamidation-plm-2024; paper id: antibody-deamidation-plm-2024; domain id: proteins-complexes; task: antibody deamidation-site prediction; model: ESM-2 650M embeddings + classifier; model version: esm2_t33_650m_UR50D; dataset: antibody peptide-mapping training dataset; dataset version: Not reported; split: fivefold stratified CV; metric: accuracy; value: 0.944; unit: fraction; uncertainty: ± 0.012; protocol: global contextual embeddings only; source locator: Table 1, Global embeddings only row, Accuracy column; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC11417914/; evaluation origin: author_reported; reviewed utc: 2026-09-15T23:33:26Z
- missing metadata
- dataset version: not_reported_in_legacy_extract