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No source-reviewed explanatory claims are recorded here yet.
CASF-2016 scoring · Pearson R. 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.
AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 3: CASF-2016 scoring Pearson RExplanatory profile: limited source coverage · Automated source review, 2026-09-17. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.
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.
AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 3: CASF-2016 scoring Pearson RBenchmarks bring together tasks and protocols. A task describes the biological question; a protocol defines a particular test.
These source-backed links do not make different protocols or scores interchangeable.
Each evaluation records what was tested and under which conditions.
Explore the results reported under one evaluation protocol. Each figure keeps its source, dataset and metric together; it is not a ranking across studies.
Pearson R (unitless) · Higher values are better for this metric.
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.
Source order is preserved. Plotted marks show point estimates; uncertainty, where reported, is retained in the printed values and table. Differences do not establish statistical significance.
AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 3: CASF-2016 scoring Pearson R| Tested entity | Printed value | Uncertainty | Evidence |
|---|---|---|---|
| K DEEP · 0.0001 · Configuration | 0.738 unitless | Not reported | Independent external evaluation · source checkedAK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 3: CASF-2016 scoring Pearson R |
| K DEEP · 0.0005 · Configuration | 0.709 unitless | Not reported | Independent external evaluation · source checkedAK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 3: CASF-2016 scoring Pearson R |
| K DEEP · 0.0006 · Configuration | 0.701 unitless | Not reported | Independent external evaluation · source checkedAK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 3: CASF-2016 scoring Pearson R |
| K DEEP · 0.0010 · Configuration | 0.715 unitless | Not reported | Independent external evaluation · source checkedAK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 3: CASF-2016 scoring Pearson R |
| AK-score-single · 0.0001 · Configuration | 0.719 unitless | Not reported | Author-reported evaluation · source checkedAK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 3: CASF-2016 scoring Pearson R |
| AK-score-single · 0.0005 · Configuration | 0.755 unitless | Not reported | Author-reported evaluation · source checkedAK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 3: CASF-2016 scoring Pearson R |
| AK-score-single · 0.0007 · Configuration | 0.759 unitless | Not reported | Author-reported evaluation · source checkedAK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 3: CASF-2016 scoring Pearson R |
| AK-score-single · 0.0010 · Configuration | 0.760 unitless | Not reported | Author-reported evaluation · source checkedAK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 3: CASF-2016 scoring Pearson R |
| AK-score-ensemble · Configuration | 0.812 unitless | Not reported | Author-reported evaluation · source checkedAK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 2, AK-score-ensemble / learning rate 0.0007 row, Scoring Pearson (R) column |
Source transcription and grouping reviewed by automated source review on 2026-09-17. These experiments were not independently reproduced by rewire.
Release 2026-09-17-d277315f7d76 · 9 evaluations · 9 metric rows. Different protocols are not a single leaderboard.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| AK-score-ensemble: Protein–ligand binding affinity scoring Configuration: AK-score-ensembleProtocol: CASF-2016 scoring (Protein–ligand binding affinity scoring)Dataset: CASF-2016 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. Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.812 Pearson R Unit: unitless · Direction: higher | Uncertainty: not reported in legacy extract Scored: Not reported · Eligible: Not reported | source checkedAK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 2, AK-score-ensemble / learning rate 0.0007 row, Scoring Pearson (R) column Source checking is not independent reproduction. |
| AK-score-single · 0.0005: CASF-2016 scoring Configuration: AK-score-single · 0.0005Protocol: CASF-2016 scoring (Protein–ligand binding affinity scoring)Dataset: CASF-2016 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. Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.755 Pearson R Unit: unitless · Direction: higher | Uncertainty: unreported Scored: Not reported · Eligible: Not reported | source checkedAK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 3: CASF-2016 scoring Pearson R Source checking is not independent reproduction. |
| AK-score-single · 0.0001: CASF-2016 scoring Configuration: AK-score-single · 0.0001Protocol: CASF-2016 scoring (Protein–ligand binding affinity scoring)Dataset: CASF-2016 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. Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.719 Pearson R Unit: unitless · Direction: higher | Uncertainty: unreported Scored: Not reported · Eligible: Not reported | source checkedAK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 3: CASF-2016 scoring Pearson R Source checking is not independent reproduction. |
| AK-score-single · 0.0010: CASF-2016 scoring Configuration: AK-score-single · 0.0010Protocol: CASF-2016 scoring (Protein–ligand binding affinity scoring)Dataset: CASF-2016 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. Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.760 Pearson R Unit: unitless · Direction: higher | Uncertainty: unreported Scored: Not reported · Eligible: Not reported | source checkedAK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 3: CASF-2016 scoring Pearson R Source checking is not independent reproduction. |
| AK-score-single · 0.0007: CASF-2016 scoring Configuration: AK-score-single · 0.0007Protocol: CASF-2016 scoring (Protein–ligand binding affinity scoring)Dataset: CASF-2016 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. Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.759 Pearson R Unit: unitless · Direction: higher | Uncertainty: unreported Scored: Not reported · Eligible: Not reported | source checkedAK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 3: CASF-2016 scoring Pearson R Source checking is not independent reproduction. |
| K DEEP · 0.0005: CASF-2016 scoring Configuration: K DEEP · 0.0005Protocol: CASF-2016 scoring (Protein–ligand binding affinity scoring)Dataset: CASF-2016 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. Independent external evaluation · Evaluation metadata: needs review | ||
| 0.709 Pearson R Unit: unitless · Direction: higher | Uncertainty: unreported Scored: Not reported · Eligible: Not reported | source checkedAK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 3: CASF-2016 scoring Pearson R Source checking is not independent reproduction. |
| K DEEP · 0.0010: CASF-2016 scoring Configuration: K DEEP · 0.0010Protocol: CASF-2016 scoring (Protein–ligand binding affinity scoring)Dataset: CASF-2016 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. Independent external evaluation · Evaluation metadata: needs review | ||
| 0.715 Pearson R Unit: unitless · Direction: higher | Uncertainty: unreported Scored: Not reported · Eligible: Not reported | source checkedAK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 3: CASF-2016 scoring Pearson R Source checking is not independent reproduction. |
| K DEEP · 0.0001: CASF-2016 scoring Configuration: K DEEP · 0.0001Protocol: CASF-2016 scoring (Protein–ligand binding affinity scoring)Dataset: CASF-2016 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. Independent external evaluation · Evaluation metadata: needs review | ||
| 0.738 Pearson R Unit: unitless · Direction: higher | Uncertainty: unreported Scored: Not reported · Eligible: Not reported | source checkedAK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 3: CASF-2016 scoring Pearson R Source checking is not independent reproduction. |
| K DEEP · 0.0006: CASF-2016 scoring Configuration: K DEEP · 0.0006Protocol: CASF-2016 scoring (Protein–ligand binding affinity scoring)Dataset: CASF-2016 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. Independent external evaluation · Evaluation metadata: needs review | ||
| 0.701 Pearson R Unit: unitless · Direction: higher | Uncertainty: unreported Scored: Not reported · Eligible: Not reported | source checkedAK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 3: CASF-2016 scoring Pearson R Source checking is not independent reproduction. |
Last literature check: 2026-09-17. Dated primary-source discovery and protocol/table screening. Source checking does not mean experimental reproduction. Only separately extracted and independently reviewed numeric batches are publishable.
| Paper or primary resource | Version | Reference |
|---|---|---|
| AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks | version of record | Read source DOI: 10.3390/ijms21228424 |
complete tables extracted
No source-reviewed explanatory claims are recorded here yet.
No source-reviewed explanatory claims are recorded here yet.
Primary-source transcription and separate automated review. No human sign-off or experimental reproduction.
Stable record: paper-protocol-31d4bca49fb09d2e6fTrace 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.
3 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Evaluation in this paper 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. Individual claims | AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 3: CASF-2016 scoring Pearson R Version: version of record | source checked automated source review · 2026-09-17 Audit detailsPrimary-source transcription and separate automated review. No human sign-off or experimental reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Introduction CASF-2016 scoring · Pearson R. 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. Individual claims | AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 3: CASF-2016 scoring Pearson R Version: version of record | source checked automated source review · 2026-09-17 Audit detailsPrimary-source transcription and separate automated review. No human sign-off or experimental reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Relationship: evaluates task reported-task-a78312d5df6dad Individual claims | AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 3: CASF-2016 scoring Pearson R; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 3: CASF-2016 scoring Pearson R Version: version of record | source checked automated source review · 2026-09-17 Audit detailsField: Claim: paper-claim-88577d8e3397f2091d Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
Release 2026-09-17-d277315f7d76 · Record review: needs review
Stable ID: paper-protocol-31d4bca49fb09d2e6f