evaluation · needs review
ESM-2 650M embeddings + classifier: antibody deamidation-site prediction
Evaluation procedure
global contextual embeddings only
- Model
- ESM-2 650M embeddings + classifier
- Benchmark
- antibody deamidation-site prediction
- Dataset
- antibody peptide-mapping training dataset
- origin
- Author-reported evaluation
- configuration
- esm2_t33_650m_UR50D
- protocol id
- Not reported
- dataset version
- Not reported
- split
- fivefold stratified CV
- population
- Not reported
- inputs
- Not reported
- adaptation
- Not reported
- metric implementation
- Not reported
- aggregation
- Not reported
- budget
- Not reported
Metadata review: needs review. Unreported conditions prevent automatic comparisons.
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: needs review
- 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: evaluation-b2-antibody-deamidation-plm-2024
- areas
- proteins-complexes
- tasks
- antibody deamidation-site prediction
- origin
- author_reported
- protocol
- global contextual embeddings only
- version
- esm2_t33_650m_UR50D
- comparison
- protocol id: Not reported; dataset version: Not reported; split: fivefold stratified CV; population: Not reported; inputs: Not reported; adaptation: Not reported; metric implementation: Not reported; aggregation: Not reported; budget: Not reported
- missing metadata
- dataset version: not_reported_in_legacy_extract