Residue-level B-cell epitope prediction on the IEDB dataset.
6 evaluations · 6 results. Different protocols are not a single leaderboard.
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein IEDB epitope prediction: Averaged F1 ↑ Dataset: IEDB epitope prediction | 10.34 ± 0.02% Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.02 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN on DeepProtein IEDB epitope prediction (Averaged F1 ↑) lit-protein-20261011-deepprotein-protocol-iedb-avg-f1 Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 5. row 'CNN', column group 'IEDB', column 'Averaged F1 ↑' |
| Configuration: CNN-RNN (DeepProtein benchmark) | Protocol: DeepProtein IEDB epitope prediction: Averaged F1 ↑ Dataset: IEDB epitope prediction | 10.96 ± 0.26% Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.26 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN-RNN on DeepProtein IEDB epitope prediction (Averaged F1 ↑) lit-protein-20261011-deepprotein-protocol-iedb-avg-f1 Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 5. row 'CNN-RNN', column group 'IEDB', column 'Averaged F1 ↑' |
| Configuration: Transformer (DeepProtein benchmark) | Protocol: DeepProtein IEDB epitope prediction: Averaged F1 ↑ Dataset: IEDB epitope prediction | 16.79 ± 0.07% Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.07 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceTransformer on DeepProtein IEDB epitope prediction (Averaged F1 ↑) lit-protein-20261011-deepprotein-protocol-iedb-avg-f1 Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 5. row 'Transformer', column group 'IEDB', column 'Averaged F1 ↑' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein IEDB epitope prediction: ROC-AUC ↑ Dataset: IEDB epitope prediction | 54.03±0.02% AUROC (area under the ROC curve, printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.02 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN on DeepProtein IEDB epitope prediction (ROC-AUC ↑) lit-protein-20261011-deepprotein-protocol-iedb-roc-auc Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 5. row 'CNN', column group 'IEDB', column 'ROC-AUC ↑' |
| Configuration: CNN-RNN (DeepProtein benchmark) | Protocol: DeepProtein IEDB epitope prediction: ROC-AUC ↑ Dataset: IEDB epitope prediction | 55.47±0.23% AUROC (area under the ROC curve, printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.23 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN-RNN on DeepProtein IEDB epitope prediction (ROC-AUC ↑) lit-protein-20261011-deepprotein-protocol-iedb-roc-auc Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 5. row 'CNN-RNN', column group 'IEDB', column 'ROC-AUC ↑' |
| Configuration: Transformer (DeepProtein benchmark) | Protocol: DeepProtein IEDB epitope prediction: ROC-AUC ↑ Dataset: IEDB epitope prediction | 59.79 ± 0.06**% AUROC (area under the ROC curve, printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.06 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceTransformer on DeepProtein IEDB epitope prediction (ROC-AUC ↑) lit-protein-20261011-deepprotein-protocol-iedb-roc-auc Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 5. row 'Transformer', column group 'IEDB', column 'ROC-AUC ↑' |
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5 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Population train/valid/test 2211/316/632 Context-only references | DeepProtein: deep learning library and benchmark for protein sequence learning Tables 2 to 7, column group 'IEDB'; the train/valid/test row of its table Version: Version of record, Bioinformatics 2025 (PMC12553333 JATS full text) | not individually reviewed No individual claim review recorded Source has a recorded evidence concern. Consult its source page before using the claim. Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Source location Tables 2 to 7, column group 'IEDB'; the train/valid/test row of its table Context-only references | DeepProtein: deep learning library and benchmark for protein sequence learning Tables 2 to 7, column group 'IEDB'; the train/valid/test row of its table Version: Version of record, Bioinformatics 2025 (PMC12553333 JATS full text) | not individually reviewed No individual claim review recorded Source has a recorded evidence concern. Consult its source page before using the claim. Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Split 2211/316/632 Context-only references | DeepProtein: deep learning library and benchmark for protein sequence learning Tables 2 to 7, column group 'IEDB'; the train/valid/test row of its table Version: Version of record, Bioinformatics 2025 (PMC12553333 JATS full text) | not individually reviewed No individual claim review recorded Source has a recorded evidence concern. Consult its source page before using the claim. Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Description Residue-level B-cell epitope prediction on the IEDB dataset. Context-only references | DeepProtein: deep learning library and benchmark for protein sequence learning Tables 2 to 7, column group 'IEDB'; the train/valid/test row of its table Version: Version of record, Bioinformatics 2025 (PMC12553333 JATS full text) | not individually reviewed No individual claim review recorded Source has a recorded evidence concern. Consult its source page before using the claim. Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Name IEDB epitope prediction Context-only references | DeepProtein: deep learning library and benchmark for protein sequence learning Tables 2 to 7, column group 'IEDB'; the train/valid/test row of its table Version: Version of record, Bioinformatics 2025 (PMC12553333 JATS full text) | not individually reviewed No individual claim review recorded Source has a recorded evidence concern. Consult its source page before using the claim. Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
Release 2026-10-22-1b7cf027e4f6 · Record review: source checked
Stable ID: lit-protein-20261011-deepprotein-data-iedb