Dataset and cohort used in the cited comparison. Dataset population counts do not establish successful prediction coverage.
These checks assess whether the evidence supports a reproducible investigation. A source-checked score alone does not meet these requirements.
Release 2026-09-29-06401fd5b220 · Evidence verified: Not verified
Exact outcomes, predictions, identifiers and evaluator are connected.
Missing or unresolved evidence
Verified: Not verified
Replay evidence includes annotations and an assessment of dependence. Unknown independence permits descriptive analysis only.
Missing or unresolved evidence
Verified: Not verified
A pinned recipe describes the inputs, environment and resource requirements.
Missing or unresolved evidence
Verified: Not verified
Separate data and exposure records support an independent test.
Missing or unresolved evidence
Verified: Not verified
Readiness describes the evidence in this release. Availability on your computer is checked separately when an investigation runs. Existing data exposure can prevent independent validation even when files are available.
No verified artifact manifest is connected to this record yet. The gaps above identify what is needed before analysis can begin.
9 evaluations · 18 results. Different protocols are not a single leaderboard.
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: AK-score-single · 0.0010 | Protocol: PDBbind-2016 core set (Protein–ligand binding affinity scoring) Dataset: PDBbind-2016 core set | 1.11 MAE kcal/mol · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceAK-score-single · 0.0010: PDBbind-2016 core set Training uses 3,772 PDBbind-2016 refined-set complexes after removal of the 285-complex core test set. CASF separates scoring, ranking and docking power. Aggregation: Not reported AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 1 (ijms-21-08424-t001), row 9 AK-score-single, column 3: PDBbind-2016 core set MAE |
| Configuration: K DEEP · 0.0005 | Protocol: PDBbind-2016 core set (Protein–ligand binding affinity scoring) Dataset: PDBbind-2016 core set | 1.2 MAE kcal/mol · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceK DEEP · 0.0005: PDBbind-2016 core set Training uses 3,772 PDBbind-2016 refined-set complexes after removal of the 285-complex core test set. CASF separates scoring, ranking and docking power. Aggregation: Not reported AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 1 (ijms-21-08424-t001), row 3 K DEEP, column 3: PDBbind-2016 core set MAE |
| Configuration: K DEEP · 0.0010 | Protocol: PDBbind-2016 core set (Protein–ligand binding affinity scoring) Dataset: PDBbind-2016 core set | 1.22 MAE kcal/mol · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceK DEEP · 0.0010: PDBbind-2016 core set Training uses 3,772 PDBbind-2016 refined-set complexes after removal of the 285-complex core test set. CASF separates scoring, ranking and docking power. Aggregation: Not reported AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 1 (ijms-21-08424-t001), row 5 K DEEP, column 3: PDBbind-2016 core set MAE |
| Configuration: K DEEP · 0.0005 | Protocol: PDBbind-2016 core set (Protein–ligand binding affinity scoring) Dataset: PDBbind-2016 core set | 1.52 RMSE kcal/mol · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceK DEEP · 0.0005: PDBbind-2016 core set Training uses 3,772 PDBbind-2016 refined-set complexes after removal of the 285-complex core test set. CASF separates scoring, ranking and docking power. Aggregation: Not reported AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 1 (ijms-21-08424-t001), row 3 K DEEP, column 4: PDBbind-2016 core set RMSE |
| Configuration: K DEEP · 0.0001 | Protocol: PDBbind-2016 core set (Protein–ligand binding affinity scoring) Dataset: PDBbind-2016 core set | 1.13 MAE kcal/mol · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceK DEEP · 0.0001: PDBbind-2016 core set Training uses 3,772 PDBbind-2016 refined-set complexes after removal of the 285-complex core test set. CASF separates scoring, ranking and docking power. Aggregation: Not reported AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 1 (ijms-21-08424-t001), row 2 K DEEP, column 3: PDBbind-2016 core set MAE |
| Configuration: K DEEP · 0.0001 | Protocol: PDBbind-2016 core set (Protein–ligand binding affinity scoring) Dataset: PDBbind-2016 core set | 1.46 RMSE kcal/mol · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceK DEEP · 0.0001: PDBbind-2016 core set Training uses 3,772 PDBbind-2016 refined-set complexes after removal of the 285-complex core test set. CASF separates scoring, ranking and docking power. Aggregation: Not reported AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 1 (ijms-21-08424-t001), row 2 K DEEP, column 4: PDBbind-2016 core set RMSE |
| Configuration: AK-score-ensemble · 0.0007 | Protocol: PDBbind-2016 core set (Protein–ligand binding affinity scoring) Dataset: PDBbind-2016 core set |
1.01
MAE kcal/mol · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceAK-score-ensemble · 0.0007: PDBbind-2016 core set Training uses 3,772 PDBbind-2016 refined-set complexes after removal of the 285-complex core test set. CASF separates scoring, ranking and docking power. Aggregation: Not reported AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 1 (ijms-21-08424-t001), row 10 AK-score-ensemble, column 3: PDBbind-2016 core set MAE |
| Configuration: K DEEP · 0.0006 | Protocol: PDBbind-2016 core set (Protein–ligand binding affinity scoring) Dataset: PDBbind-2016 core set | 1.53 RMSE kcal/mol · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceK DEEP · 0.0006: PDBbind-2016 core set Training uses 3,772 PDBbind-2016 refined-set complexes after removal of the 285-complex core test set. CASF separates scoring, ranking and docking power. Aggregation: Not reported AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 1 (ijms-21-08424-t001), row 4 K DEEP, column 4: PDBbind-2016 core set RMSE |
| Configuration: AK-score-single · 0.0007 | Protocol: PDBbind-2016 core set (Protein–ligand binding affinity scoring) Dataset: PDBbind-2016 core set | 1.13 MAE kcal/mol · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceAK-score-single · 0.0007: PDBbind-2016 core set Training uses 3,772 PDBbind-2016 refined-set complexes after removal of the 285-complex core test set. CASF separates scoring, ranking and docking power. Aggregation: Not reported AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 1 (ijms-21-08424-t001), row 8 AK-score-single, column 3: PDBbind-2016 core set MAE |
| Configuration: AK-score-single · 0.0001 | Protocol: PDBbind-2016 core set (Protein–ligand binding affinity scoring) Dataset: PDBbind-2016 core set | 1.16 MAE kcal/mol · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceAK-score-single · 0.0001: PDBbind-2016 core set Training uses 3,772 PDBbind-2016 refined-set complexes after removal of the 285-complex core test set. CASF separates scoring, ranking and docking power. Aggregation: Not reported AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 1 (ijms-21-08424-t001), row 6 AK-score-single, column 3: PDBbind-2016 core set MAE |
| Configuration: AK-score-single · 0.0005 | Protocol: PDBbind-2016 core set (Protein–ligand binding affinity scoring) Dataset: PDBbind-2016 core set | 1.1 MAE kcal/mol · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceAK-score-single · 0.0005: PDBbind-2016 core set Training uses 3,772 PDBbind-2016 refined-set complexes after removal of the 285-complex core test set. CASF separates scoring, ranking and docking power. Aggregation: Not reported AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 1 (ijms-21-08424-t001), row 7 AK-score-single, column 3: PDBbind-2016 core set MAE |
| Configuration: AK-score-ensemble · 0.0007 | Protocol: PDBbind-2016 core set (Protein–ligand binding affinity scoring) Dataset: PDBbind-2016 core set |
1.29
RMSE kcal/mol · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceAK-score-ensemble · 0.0007: PDBbind-2016 core set Training uses 3,772 PDBbind-2016 refined-set complexes after removal of the 285-complex core test set. CASF separates scoring, ranking and docking power. Aggregation: Not reported AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 1 (ijms-21-08424-t001), row 10 AK-score-ensemble, column 4: PDBbind-2016 core set RMSE |
| Configuration: AK-score-single · 0.0007 | Protocol: PDBbind-2016 core set (Protein–ligand binding affinity scoring) Dataset: PDBbind-2016 core set | 1.43 RMSE kcal/mol · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceAK-score-single · 0.0007: PDBbind-2016 core set Training uses 3,772 PDBbind-2016 refined-set complexes after removal of the 285-complex core test set. CASF separates scoring, ranking and docking power. Aggregation: Not reported AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 1 (ijms-21-08424-t001), row 8 AK-score-single, column 4: PDBbind-2016 core set RMSE |
| Configuration: AK-score-single · 0.0001 | Protocol: PDBbind-2016 core set (Protein–ligand binding affinity scoring) Dataset: PDBbind-2016 core set | 1.51 RMSE kcal/mol · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceAK-score-single · 0.0001: PDBbind-2016 core set Training uses 3,772 PDBbind-2016 refined-set complexes after removal of the 285-complex core test set. CASF separates scoring, ranking and docking power. Aggregation: Not reported AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 1 (ijms-21-08424-t001), row 6 AK-score-single, column 4: PDBbind-2016 core set RMSE |
| Configuration: AK-score-single · 0.0005 | Protocol: PDBbind-2016 core set (Protein–ligand binding affinity scoring) Dataset: PDBbind-2016 core set | 1.42 RMSE kcal/mol · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceAK-score-single · 0.0005: PDBbind-2016 core set Training uses 3,772 PDBbind-2016 refined-set complexes after removal of the 285-complex core test set. CASF separates scoring, ranking and docking power. Aggregation: Not reported AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 1 (ijms-21-08424-t001), row 7 AK-score-single, column 4: PDBbind-2016 core set RMSE |
| Configuration: AK-score-single · 0.0010 | Protocol: PDBbind-2016 core set (Protein–ligand binding affinity scoring) Dataset: PDBbind-2016 core set | 1.41 RMSE kcal/mol · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceAK-score-single · 0.0010: PDBbind-2016 core set Training uses 3,772 PDBbind-2016 refined-set complexes after removal of the 285-complex core test set. CASF separates scoring, ranking and docking power. Aggregation: Not reported AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 1 (ijms-21-08424-t001), row 9 AK-score-single, column 4: PDBbind-2016 core set RMSE |
| Configuration: K DEEP · 0.0010 | Protocol: PDBbind-2016 core set (Protein–ligand binding affinity scoring) Dataset: PDBbind-2016 core set | 1.54 RMSE kcal/mol · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceK DEEP · 0.0010: PDBbind-2016 core set Training uses 3,772 PDBbind-2016 refined-set complexes after removal of the 285-complex core test set. CASF separates scoring, ranking and docking power. Aggregation: Not reported AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 1 (ijms-21-08424-t001), row 5 K DEEP, column 4: PDBbind-2016 core set RMSE |
| Configuration: K DEEP · 0.0006 | Protocol: PDBbind-2016 core set (Protein–ligand binding affinity scoring) Dataset: PDBbind-2016 core set | 1.16 MAE kcal/mol · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceK DEEP · 0.0006: PDBbind-2016 core set Training uses 3,772 PDBbind-2016 refined-set complexes after removal of the 285-complex core test set. CASF separates scoring, ranking and docking power. Aggregation: Not reported AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 1 (ijms-21-08424-t001), row 4 K DEEP, column 3: PDBbind-2016 core set MAE |
Source checking is not independent reproduction. Release 2026-09-29-06401fd5b220.
A dataset supplies biological observations. The evaluation protocol defines how those observations are split, used and scored.
Source checking verifies the cited claim or transcription. It does not establish independent reproduction.
Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.
One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.
7 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.reported_population.count 285 Context-only references | AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks Assessment of prediction accuracy of ResNext-ensemble, ResNext, and K DEEP using the PDBbind-2016 dataset and mean absolute error and root mean square error metrics.; Table 1 (ijms-21-08424-t001), row 2 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 3 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 4 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 5 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 6 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 7 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 8 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 9 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 10 AK-score-ensemble, column 3: PDBbind-2016 core set MAE Version: version of record | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.reported_population.unit protein–ligand complexes Context-only references | AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks Assessment of prediction accuracy of ResNext-ensemble, ResNext, and K DEEP using the PDBbind-2016 dataset and mean absolute error and root mean square error metrics.; Table 1 (ijms-21-08424-t001), row 2 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 3 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 4 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 5 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 6 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 7 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 8 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 9 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 10 AK-score-ensemble, column 3: PDBbind-2016 core set MAE Version: version of record | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.source_locator Assessment of prediction accuracy of ResNext-ensemble, ResNext, and K DEEP using the PDBbind-2016 dataset and mean absolute error and root mean square error metrics.; Table 1 (ijms-21-08424-t001), row 2 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 3 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 4 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 5 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 6 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 7 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 8 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 9 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 10 AK-score-ensemble, column 3: PDBbind-2016 core set MAE Context-only references | AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks Assessment of prediction accuracy of ResNext-ensemble, ResNext, and K DEEP using the PDBbind-2016 dataset and mean absolute error and root mean square error metrics.; Table 1 (ijms-21-08424-t001), row 2 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 3 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 4 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 5 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 6 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 7 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 8 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 9 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 10 AK-score-ensemble, column 3: PDBbind-2016 core set MAE Version: version of record | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.split Training uses 3,772 PDBbind-2016 refined-set complexes after removal of the 285-complex core test set. CASF separates scoring, ranking and docking power. Context-only references | AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks Assessment of prediction accuracy of ResNext-ensemble, ResNext, and K DEEP using the PDBbind-2016 dataset and mean absolute error and root mean square error metrics.; Table 1 (ijms-21-08424-t001), row 2 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 3 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 4 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 5 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 6 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 7 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 8 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 9 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 10 AK-score-ensemble, column 3: PDBbind-2016 core set MAE Version: version of record | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.subset Not reported Context-only references | AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks Assessment of prediction accuracy of ResNext-ensemble, ResNext, and K DEEP using the PDBbind-2016 dataset and mean absolute error and root mean square error metrics.; Table 1 (ijms-21-08424-t001), row 2 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 3 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 4 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 5 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 6 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 7 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 8 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 9 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 10 AK-score-ensemble, column 3: PDBbind-2016 core set MAE Version: version of record | missing or unspecified No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| description Dataset and cohort used in the cited comparison. Dataset population counts do not establish successful prediction coverage. Context-only references | AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks Assessment of prediction accuracy of ResNext-ensemble, ResNext, and K DEEP using the PDBbind-2016 dataset and mean absolute error and root mean square error metrics.; Table 1 (ijms-21-08424-t001), row 2 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 3 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 4 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 5 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 6 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 7 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 8 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 9 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 10 AK-score-ensemble, column 3: PDBbind-2016 core set MAE Version: version of record | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| name PDBbind-2016 core set Context-only references | AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks Assessment of prediction accuracy of ResNext-ensemble, ResNext, and K DEEP using the PDBbind-2016 dataset and mean absolute error and root mean square error metrics.; Table 1 (ijms-21-08424-t001), row 2 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 3 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 4 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 5 K DEEP, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 6 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 7 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 8 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 9 AK-score-single, column 3: PDBbind-2016 core set MAE; Table 1 (ijms-21-08424-t001), row 10 AK-score-ensemble, column 3: PDBbind-2016 core set MAE Version: version of record | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
View linked audit checks and correction history
Release 2026-09-29-06401fd5b220 · Record review: needs review
Stable ID: paper-dataset-b882219f61119f515b