Dataset

Subcellular localization (PEER)

Ten-class subcellular localization classification.

Evaluation results

30 evaluations · 30 results. Different protocols are not a single leaderboard.

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Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: AttentiveFP (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): Acc ↑ Dataset: Subcellular localization (PEER)	42.38±1.25% Accuracy (accuracy, printed on a 0 to 100 scale) percent · higher Uncertainty: SD 1.25 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source AttentiveFP on DeepProtein Subcellular localization (PEER) (Acc ↑) lit-protein-20261011-deepprotein-protocol-subcellular-acc Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'AttentiveFP', column group 'Subcellular', column 'Acc ↑'
Configuration: ChemLLM-7B (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): Acc ↑ Dataset: Subcellular localization (PEER)	6.24% Accuracy (accuracy, printed on a 0 to 100 scale) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source ChemLLM-7B on DeepProtein Subcellular localization (PEER) (Acc ↑) lit-protein-20261011-deepprotein-protocol-subcellular-acc Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'ChemLLM-7B', column group 'Subcellular', column 'Acc ↑'
Configuration: CNN (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): Acc ↑ Dataset: Subcellular localization (PEER)	50.18 ± 1.21% Accuracy (accuracy, printed on a 0 to 100 scale) percent · higher Uncertainty: SD 1.21 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source CNN on DeepProtein Subcellular localization (PEER) (Acc ↑) lit-protein-20261011-deepprotein-protocol-subcellular-acc Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'CNN', column group 'Subcellular', column 'Acc ↑'
Configuration: CNN-RNN (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): Acc ↑ Dataset: Subcellular localization (PEER)	52.58 ± 0.11% Accuracy (accuracy, printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.11 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source CNN-RNN on DeepProtein Subcellular localization (PEER) (Acc ↑) lit-protein-20261011-deepprotein-protocol-subcellular-acc Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'CNN-RNN', column group 'Subcellular', column 'Acc ↑'
Configuration: Deep Prot-T5 (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): Acc ↑ Dataset: Subcellular localization (PEER)	82.7% Accuracy (accuracy, printed on a 0 to 100 scale) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source Deep Prot-T5 on DeepProtein Subcellular localization (PEER) (Acc ↑) lit-protein-20261011-deepprotein-protocol-subcellular-acc Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'Deep Prot-T5', column group 'Subcellular', column 'Acc ↑'
Configuration: ESM-2-650M (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): Acc ↑ Dataset: Subcellular localization (PEER)	79.07 ± 0.05% Accuracy (accuracy, printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.05 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source ESM-2-650M on DeepProtein Subcellular localization (PEER) (Acc ↑) lit-protein-20261011-deepprotein-protocol-subcellular-acc Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'ESM-2-650M', column group 'Subcellular', column 'Acc ↑'
Configuration: GAT (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): Acc ↑ Dataset: Subcellular localization (PEER)	45.14±0.10% Accuracy (accuracy, printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.10 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source GAT on DeepProtein Subcellular localization (PEER) (Acc ↑) lit-protein-20261011-deepprotein-protocol-subcellular-acc Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'GAT', column group 'Subcellular', column 'Acc ↑'
Configuration: GCN (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): Acc ↑ Dataset: Subcellular localization (PEER)	47.45±0.47% Accuracy (accuracy, printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.47 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source GCN on DeepProtein Subcellular localization (PEER) (Acc ↑) lit-protein-20261011-deepprotein-protocol-subcellular-acc Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'GCN', column group 'Subcellular', column 'Acc ↑'
Configuration: LlaSMol-Mistral-7B (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): Acc ↑ Dataset: Subcellular localization (PEER)	15.7% Accuracy (accuracy, printed on a 0 to 100 scale) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source LlaSMol-Mistral-7B on DeepProtein Subcellular localization (PEER) (Acc ↑) lit-protein-20261011-deepprotein-protocol-subcellular-acc Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'LlaSMol-Mistral-7B', column group 'Subcellular', column 'Acc ↑'
Configuration: NeuralFP (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): Acc ↑ Dataset: Subcellular localization (PEER)	45.20±0.49% Accuracy (accuracy, printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.49 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source NeuralFP on DeepProtein Subcellular localization (PEER) (Acc ↑) lit-protein-20261011-deepprotein-protocol-subcellular-acc Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'NeuralFP', column group 'Subcellular', column 'Acc ↑'
Configuration: Prot-T5-XL (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): Acc ↑ Dataset: Subcellular localization (PEER)	80.67 ± 0.04% Accuracy (accuracy, printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.04 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source Prot-T5-XL on DeepProtein Subcellular localization (PEER) (Acc ↑) lit-protein-20261011-deepprotein-protocol-subcellular-acc Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'Prot-T5-XL', column group 'Subcellular', column 'Acc ↑'
Configuration: Transformer (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): Acc ↑ Dataset: Subcellular localization (PEER)	42.63±0.68% Accuracy (accuracy, printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.68 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source Transformer on DeepProtein Subcellular localization (PEER) (Acc ↑) lit-protein-20261011-deepprotein-protocol-subcellular-acc Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'Transformer', column group 'Subcellular', column 'Acc ↑'
Configuration: AttentiveFP (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): Averaged F1 ↑ Dataset: Subcellular localization (PEER)	23.50 ± 1.34% Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale) percent · higher Uncertainty: SD 1.34 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source AttentiveFP on DeepProtein Subcellular localization (PEER) (Averaged F1 ↑) lit-protein-20261011-deepprotein-protocol-subcellular-avg-f1 Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'AttentiveFP', column group 'Subcellular', column 'Averaged F1 ↑'
Configuration: ChemLLM-7B (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): Averaged F1 ↑ Dataset: Subcellular localization (PEER)	0.59% Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source ChemLLM-7B on DeepProtein Subcellular localization (PEER) (Averaged F1 ↑) lit-protein-20261011-deepprotein-protocol-subcellular-avg-f1 Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'ChemLLM-7B', column group 'Subcellular', column 'Averaged F1 ↑'
Configuration: CNN (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): Averaged F1 ↑ Dataset: Subcellular localization (PEER)	30.44 ± 0.28% Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.28 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source CNN on DeepProtein Subcellular localization (PEER) (Averaged F1 ↑) lit-protein-20261011-deepprotein-protocol-subcellular-avg-f1 Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'CNN', column group 'Subcellular', column 'Averaged F1 ↑'
Configuration: CNN-RNN (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): Averaged F1 ↑ Dataset: Subcellular localization (PEER)	38.21 ± 0.57% Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.57 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source CNN-RNN on DeepProtein Subcellular localization (PEER) (Averaged F1 ↑) lit-protein-20261011-deepprotein-protocol-subcellular-avg-f1 Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'CNN-RNN', column group 'Subcellular', column 'Averaged F1 ↑'
Configuration: Deep Prot-T5 (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): Averaged F1 ↑ Dataset: Subcellular localization (PEER)	82.5% Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source Deep Prot-T5 on DeepProtein Subcellular localization (PEER) (Averaged F1 ↑) lit-protein-20261011-deepprotein-protocol-subcellular-avg-f1 Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'Deep Prot-T5', column group 'Subcellular', column 'Averaged F1 ↑'
Configuration: ESM-2-650M (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): Averaged F1 ↑ Dataset: Subcellular localization (PEER)	66.66 ± 1.14% Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale) percent · higher Uncertainty: SD 1.14 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source ESM-2-650M on DeepProtein Subcellular localization (PEER) (Averaged F1 ↑) lit-protein-20261011-deepprotein-protocol-subcellular-avg-f1 Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'ESM-2-650M', column group 'Subcellular', column 'Averaged F1 ↑'
Configuration: GAT (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): Averaged F1 ↑ Dataset: Subcellular localization (PEER)	27.03 ± 0.47% Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.47 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source GAT on DeepProtein Subcellular localization (PEER) (Averaged F1 ↑) lit-protein-20261011-deepprotein-protocol-subcellular-avg-f1 Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'GAT', column group 'Subcellular', column 'Averaged F1 ↑'
Configuration: GCN (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): Averaged F1 ↑ Dataset: Subcellular localization (PEER)	34.88 ± 0.79% Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.79 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source GCN on DeepProtein Subcellular localization (PEER) (Averaged F1 ↑) lit-protein-20261011-deepprotein-protocol-subcellular-avg-f1 Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'GCN', column group 'Subcellular', column 'Averaged F1 ↑'
Configuration: LlaSMol-Mistral-7B (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): Averaged F1 ↑ Dataset: Subcellular localization (PEER)	4.99% Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source LlaSMol-Mistral-7B on DeepProtein Subcellular localization (PEER) (Averaged F1 ↑) lit-protein-20261011-deepprotein-protocol-subcellular-avg-f1 Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'LlaSMol-Mistral-7B', column group 'Subcellular', column 'Averaged F1 ↑'
Configuration: NeuralFP (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): Averaged F1 ↑ Dataset: Subcellular localization (PEER)	27.07 ± 0.93% Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.93 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source NeuralFP on DeepProtein Subcellular localization (PEER) (Averaged F1 ↑) lit-protein-20261011-deepprotein-protocol-subcellular-avg-f1 Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'NeuralFP', column group 'Subcellular', column 'Averaged F1 ↑'
Configuration: Prot-T5-XL (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): Averaged F1 ↑ Dataset: Subcellular localization (PEER)	69.86 ± 0.39% Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.39 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source Prot-T5-XL on DeepProtein Subcellular localization (PEER) (Averaged F1 ↑) lit-protein-20261011-deepprotein-protocol-subcellular-avg-f1 Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'Prot-T5-XL', column group 'Subcellular', column 'Averaged F1 ↑'
Configuration: Transformer (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): Averaged F1 ↑ Dataset: Subcellular localization (PEER)	25.46 ± 0.01% Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.01 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source Transformer on DeepProtein Subcellular localization (PEER) (Averaged F1 ↑) lit-protein-20261011-deepprotein-protocol-subcellular-avg-f1 Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'Transformer', column group 'Subcellular', column 'Averaged F1 ↑'
Configuration: CNN (DeepProtein benchmark)	Protocol: DeepProtein Subcellular localization (PEER): GPU Memory (GB) Dataset: Subcellular localization (PEER)	2.94 Peak memory (peak GPU memory) gigabyte · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source CNN resource usage on DeepProtein Subcellular localization (PEER) (GPU Memory (GB)) lit-protein-20261011-deepprotein-protocol-subcellular-memory Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 8 row 'SubCellular' / 'CNN', column 'GPU Memory (GB)'

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5 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-22-1b7cf027e4f6
Property and statement	Original source and location	Review and provenance
Population train/valid/test 8945/2248/2768 Context-only references	DeepProtein: deep learning library and benchmark for protein sequence learning Original source ↗ Tables 2 to 7, column group 'Subcellular'; the train/valid/test row of its table Version: Version of record, Bioinformatics 2025 (PMC12553333 JATS full text) Retrieved: 2026-10-11T21:30:00Z	not individually reviewed No individual claim review recorded Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `attributes.population` Source artifact SHA-256: `b586921363170806d9f332afb37762ea61f464da6067a3ef0ab8853281964b7f` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Source location Tables 2 to 7, column group 'Subcellular'; the train/valid/test row of its table Context-only references	DeepProtein: deep learning library and benchmark for protein sequence learning Original source ↗ Tables 2 to 7, column group 'Subcellular'; the train/valid/test row of its table Version: Version of record, Bioinformatics 2025 (PMC12553333 JATS full text) Retrieved: 2026-10-11T21:30:00Z	not individually reviewed No individual claim review recorded Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `attributes.source_locator` Source artifact SHA-256: `b586921363170806d9f332afb37762ea61f464da6067a3ef0ab8853281964b7f` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Split 8945/2248/2768 Context-only references	DeepProtein: deep learning library and benchmark for protein sequence learning Original source ↗ Tables 2 to 7, column group 'Subcellular'; the train/valid/test row of its table Version: Version of record, Bioinformatics 2025 (PMC12553333 JATS full text) Retrieved: 2026-10-11T21:30:00Z	not individually reviewed No individual claim review recorded Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `attributes.split` Source artifact SHA-256: `b586921363170806d9f332afb37762ea61f464da6067a3ef0ab8853281964b7f` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Description Ten-class subcellular localization classification. Context-only references	DeepProtein: deep learning library and benchmark for protein sequence learning Original source ↗ Tables 2 to 7, column group 'Subcellular'; the train/valid/test row of its table Version: Version of record, Bioinformatics 2025 (PMC12553333 JATS full text) Retrieved: 2026-10-11T21:30:00Z	not individually reviewed No individual claim review recorded Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `description` Source artifact SHA-256: `b586921363170806d9f332afb37762ea61f464da6067a3ef0ab8853281964b7f` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Name Subcellular localization (PEER) Context-only references	DeepProtein: deep learning library and benchmark for protein sequence learning Original source ↗ Tables 2 to 7, column group 'Subcellular'; the train/valid/test row of its table Version: Version of record, Bioinformatics 2025 (PMC12553333 JATS full text) Retrieved: 2026-10-11T21:30:00Z	not individually reviewed No individual claim review recorded Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `name` Source artifact SHA-256: `b586921363170806d9f332afb37762ea61f464da6067a3ef0ab8853281964b7f` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact

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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)

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Technical metadata and extraction receipts

Stable ID: lit-protein-20261011-deepprotein-data-subcellular

areas: protein-function
contexts: research
split: 8945/2248/2768
source locator: Tables 2 to 7, column group 'Subcellular'; the train/valid/test row of its table
missing metadata: version: reason: unreported; note: The article names the source benchmark without a dataset version
population: train/valid/test 8945/2248/2768

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