DeepProtein PDB-Jespersen epitope prediction: Averaged F1 ↑
Residue-level epitope prediction on the Jespersen PDB dataset. Scored by averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale.
Overview
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3 recorded evaluations, 3 metric rows. A comparison chart has not yet been validated for these results. The table retains the individual findings and their sources.
Results
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All evaluations
3 evaluations · 3 results. Different protocols are not a single leaderboard.
Protocol: DeepProtein PDB-Jespersen epitope prediction: Averaged F1 ↑ · Dataset: PDB-Jespersen epitope prediction
Sorted by Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale) (higher is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.
| Tested configuration | Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale) |
|---|---|
| CNN (DeepProtein benchmark)Evaluation | 52.43 ± 0.35% (best in column) |
| CNN-RNN (DeepProtein benchmark)Evaluation | 44.82 ± 1.69% |
| Transformer (DeepProtein benchmark)Evaluation | 27.31 ± 0.56% |
All 3 result rows with coverage, uncertainty and sources
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| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein PDB-Jespersen epitope prediction: Averaged F1 ↑ Dataset: PDB-Jespersen epitope prediction | 52.43 ± 0.35% Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.35 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN on DeepProtein PDB-Jespersen epitope prediction (Averaged F1 ↑) lit-protein-20261011-deepprotein-protocol-pdb-jespersen-avg-f1 Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 5. row 'CNN', column group 'PDB-Jespersen', column 'Averaged F1 ↑' |
| Configuration: CNN-RNN (DeepProtein benchmark) | Protocol: DeepProtein PDB-Jespersen epitope prediction: Averaged F1 ↑ Dataset: PDB-Jespersen epitope prediction | 44.82 ± 1.69% Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale) percent · higher Uncertainty: SD 1.69 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN-RNN on DeepProtein PDB-Jespersen epitope prediction (Averaged F1 ↑) lit-protein-20261011-deepprotein-protocol-pdb-jespersen-avg-f1 Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 5. row 'CNN-RNN', column group 'PDB-Jespersen', column 'Averaged F1 ↑' |
| Configuration: Transformer (DeepProtein benchmark) | Protocol: DeepProtein PDB-Jespersen epitope prediction: Averaged F1 ↑ Dataset: PDB-Jespersen epitope prediction | 27.31 ± 0.56% Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.56 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceTransformer on DeepProtein PDB-Jespersen epitope prediction (Averaged F1 ↑) lit-protein-20261011-deepprotein-protocol-pdb-jespersen-avg-f1 Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 5. row 'Transformer', column group 'PDB-Jespersen', column 'Averaged F1 ↑' |
Source checking is not independent reproduction. Release 2026-10-22-1b7cf027e4f6.
Methods and evaluation design
Procedure, tasks and evaluated configurations
Recorded evaluations
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Baseline coverage
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- Author-reported evaluations
- 3
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Protocol coverage CSV (gzip) · Model evaluation matrix (gzip) · Source table (gzip) · Release and checksums (gzip)
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Run instructions
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Strengths, limitations and unresolved questions
Evidence
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Evidence table
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Sources and history
Release 2026-10-22-1b7cf027e4f6 · Record review: source checked
1 source record and release history
- DeepProtein: deep learning library and benchmark for protein sequence learning · Original source · Version of record, Bioinformatics 2025 (PMC12553333 JATS full text)
Technical metadata and extraction receipts
Stable ID: lit-protein-20261011-deepprotein-protocol-pdb-jespersen-avg-f1
- areas
- protein-function
- contexts
- research
- protocol
- Train on the task's training split and score PDB-Jespersen epitope prediction on its test split; five random seeds per method, mean and standard deviation reported.
- metric
- macro-f1
- metric direction
- higher
- unit
- percent
- metric qualifier
- averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale
- version
- As published 2025
- source locator
- PDB-Jespersen epitope prediction: column 'Averaged F1 ↑' of its table in Tables 2 to 8
- replicates
- Five random seeds (table footnote a: 'we used five different random seeds to perform independent runs, reporting the average results along with their standard deviations')
- limitations
- Author-reported results: the DeepProtein authors ran every method.
- dataset
- PDB-Jespersen epitope prediction; train/valid/test 313/45/89
Related records
- part of: DeepProtein benchmark
- uses data: PDB-Jespersen epitope prediction
- assessment: CNN on DeepProtein PDB-Jespersen epitope prediction (Averaged F1 ↑)
- assessment: CNN-RNN on DeepProtein PDB-Jespersen epitope prediction (Averaged F1 ↑)
- assessment: Transformer on DeepProtein PDB-Jespersen epitope prediction (Averaged F1 ↑)