rewirebio.iobenchmarks
Configuration

AttentiveFP (DeepProtein benchmark)

Configuration of AttentiveFP: graph model; default DeepProtein configuration.

12 evaluations · 12 results

Overview

An explanatory profile has not yet been reviewed for this record.

Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.

Evaluations and results

12 evaluations · 12 results. Different protocols are not a single leaderboard.

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 configurationProtocol and datasetMacro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale)MAE (mean absolute error)Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split)AUPRC (area under the precision-recall curve, printed on a 0 to 100 scale)Accuracy (accuracy, printed on a 0 to 100 scale)
AttentiveFP (DeepProtein benchmark)EvaluationDeepProtein Binary localization (PEER): Averaged F1 ↑, Binary localization (PEER)80.08 ± 0.39% (best in column)Not reportedNot reportedNot reportedNot reported
AttentiveFP (DeepProtein benchmark)EvaluationDeepProtein Solubility (PEER): Averaged F1 ↑, Solubility (PEER)39.21 ± 0.66%Not reportedNot reportedNot reportedNot reported
AttentiveFP (DeepProtein benchmark)EvaluationDeepProtein Subcellular localization (PEER): Averaged F1 ↑, Subcellular localization (PEER)23.50 ± 1.34%Not reportedNot reportedNot reportedNot reported
AttentiveFP (DeepProtein benchmark)EvaluationDeepProtein beta-lactamase (PEER): MAE ↓, beta-lactamase (PEER)Not reported0.262 ± 0.007 (best in column)Not reportedNot reportedNot reported
AttentiveFP (DeepProtein benchmark)EvaluationDeepProtein beta-lactamase (PEER): ρ ↑, beta-lactamase (PEER)Not reportedNot reported0.058±0.011Not reportedNot reported
AttentiveFP (DeepProtein benchmark)EvaluationDeepProtein Binary localization (PEER): PR-AUC ↑, Binary localization (PEER)Not reportedNot reportedNot reported80.58±0.30% (best in column)Not reported
AttentiveFP (DeepProtein benchmark)EvaluationDeepProtein Fluorescence (TAPE): MAE ↓, Fluorescence (TAPE)Not reported1.285 ± 0.001Not reportedNot reportedNot reported
AttentiveFP (DeepProtein benchmark)EvaluationDeepProtein Fluorescence (TAPE): ρ ↑, Fluorescence (TAPE)Not reportedNot reported0.180±0.006 (best in column)Not reportedNot reported
AttentiveFP (DeepProtein benchmark)EvaluationDeepProtein Solubility (PEER): PR-AUC ↑, Solubility (PEER)Not reportedNot reportedNot reported60.56 ± 0.74%Not reported
AttentiveFP (DeepProtein benchmark)EvaluationDeepProtein Stability (TAPE): MAE ↓, Stability (TAPE)Not reported0.763 ± 0.003Not reportedNot reportedNot reported
AttentiveFP (DeepProtein benchmark)EvaluationDeepProtein Stability (TAPE): ρ ↑, Stability (TAPE)Not reportedNot reported0.013±0.004Not reportedNot reported
AttentiveFP (DeepProtein benchmark)EvaluationDeepProtein Subcellular localization (PEER): Acc ↑, Subcellular localization (PEER)Not reportedNot reportedNot reportedNot reported42.38±1.25%
All 12 result rows with coverage, uncertainty and sources
Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: AttentiveFP (DeepProtein benchmark)Protocol: DeepProtein beta-lactamase (PEER): MAE ↓
Dataset: beta-lactamase (PEER)
0.262 ± 0.007 MAE (mean absolute error)
unit-unreported · lower

Uncertainty: SD 0.007

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

AttentiveFP on DeepProtein beta-lactamase (PEER) (MAE ↓)

lit-protein-20261011-deepprotein-protocol-beta-lactamase-mae

Aggregation: Not reported

DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'AttentiveFP', column group 'β-lactamase', column 'MAE ↓'
Configuration: AttentiveFP (DeepProtein benchmark)Protocol: DeepProtein beta-lactamase (PEER): ρ ↑
Dataset: beta-lactamase (PEER)
0.058±0.011 Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split)
unitless · higher

Uncertainty: SD 0.011

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

AttentiveFP on DeepProtein beta-lactamase (PEER) (ρ ↑)

lit-protein-20261011-deepprotein-protocol-beta-lactamase-rho

Aggregation: Not reported

DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'AttentiveFP', column group 'β-lactamase', column 'ρ ↑'
Configuration: AttentiveFP (DeepProtein benchmark)Protocol: DeepProtein Binary localization (PEER): Averaged F1 ↑
Dataset: Binary localization (PEER)
80.08 ± 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
Methods, coverage and source

AttentiveFP on DeepProtein Binary localization (PEER) (Averaged F1 ↑)

lit-protein-20261011-deepprotein-protocol-binary-avg-f1

Aggregation: Not reported

DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'AttentiveFP', column group 'Binary', column 'Averaged F1 ↑'
Configuration: AttentiveFP (DeepProtein benchmark)Protocol: DeepProtein Binary localization (PEER): PR-AUC ↑
Dataset: Binary localization (PEER)
80.58±0.30% AUPRC (area under the precision-recall curve, printed on a 0 to 100 scale)
percent · higher

Uncertainty: SD 0.30

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

AttentiveFP on DeepProtein Binary localization (PEER) (PR-AUC ↑)

lit-protein-20261011-deepprotein-protocol-binary-pr-auc

Aggregation: Not reported

DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'AttentiveFP', column group 'Binary', column 'PR-AUC ↑'
Configuration: AttentiveFP (DeepProtein benchmark)Protocol: DeepProtein Fluorescence (TAPE): MAE ↓
Dataset: Fluorescence (TAPE)
1.285 ± 0.001 MAE (mean absolute error)
unit-unreported · lower

Uncertainty: SD 0.001

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

AttentiveFP on DeepProtein Fluorescence (TAPE) (MAE ↓)

lit-protein-20261011-deepprotein-protocol-fluorescence-mae

Aggregation: Not reported

DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'AttentiveFP', column group 'Fluorescence', column 'MAE ↓'
Configuration: AttentiveFP (DeepProtein benchmark)Protocol: DeepProtein Fluorescence (TAPE): ρ ↑
Dataset: Fluorescence (TAPE)
0.180±0.006 Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split)
unitless · higher

Uncertainty: SD 0.006

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

AttentiveFP on DeepProtein Fluorescence (TAPE) (ρ ↑)

lit-protein-20261011-deepprotein-protocol-fluorescence-rho

Aggregation: Not reported

DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'AttentiveFP', column group 'Fluorescence', column 'ρ ↑'
Configuration: AttentiveFP (DeepProtein benchmark)Protocol: DeepProtein Solubility (PEER): Averaged F1 ↑
Dataset: Solubility (PEER)
39.21 ± 0.66% Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale)
percent · higher

Uncertainty: SD 0.66

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

AttentiveFP on DeepProtein Solubility (PEER) (Averaged F1 ↑)

lit-protein-20261011-deepprotein-protocol-solubility-avg-f1

Aggregation: Not reported

DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'AttentiveFP', column group 'Solubility', column 'Averaged F1 ↑'
Configuration: AttentiveFP (DeepProtein benchmark)Protocol: DeepProtein Solubility (PEER): PR-AUC ↑
Dataset: Solubility (PEER)
60.56 ± 0.74% AUPRC (area under the precision-recall curve, printed on a 0 to 100 scale)
percent · higher

Uncertainty: SD 0.74

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

AttentiveFP on DeepProtein Solubility (PEER) (PR-AUC ↑)

lit-protein-20261011-deepprotein-protocol-solubility-pr-auc

Aggregation: Not reported

DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'AttentiveFP', column group 'Solubility', column 'PR-AUC ↑'
Configuration: AttentiveFP (DeepProtein benchmark)Protocol: DeepProtein Stability (TAPE): MAE ↓
Dataset: Stability (TAPE)
0.763 ± 0.003 MAE (mean absolute error)
unit-unreported · lower

Uncertainty: SD 0.003

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

AttentiveFP on DeepProtein Stability (TAPE) (MAE ↓)

lit-protein-20261011-deepprotein-protocol-stability-mae

Aggregation: Not reported

DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'AttentiveFP', column group 'Stability', column 'MAE ↓'
Configuration: AttentiveFP (DeepProtein benchmark)Protocol: DeepProtein Stability (TAPE): ρ ↑
Dataset: Stability (TAPE)
0.013±0.004 Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split)
unitless · higher

Uncertainty: SD 0.004

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

AttentiveFP on DeepProtein Stability (TAPE) (ρ ↑)

lit-protein-20261011-deepprotein-protocol-stability-rho

Aggregation: Not reported

DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'AttentiveFP', column group 'Stability', column 'ρ ↑'
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
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: 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
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 ↑'

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Technical metadata and extraction receipts

Stable ID: lit-protein-20261011-deepprotein-config-attentivefp

areas
protein-function
contexts
research
method types
specialist
reported name
AttentiveFP
reported configuration
graph model; default DeepProtein configuration (Table 9)
foundation model eligible
false
source locator
Tables 2 to 8, row 'AttentiveFP'; Table 9 for the default configuration
missing metadata
version: reason: unreported; note: The tables name the model without a release version
provenance note
AttentiveFP as trained and evaluated in the DeepProtein benchmark (graph model).
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