Evaluation

AK-score-single · 0.0010: CASF-2016 ranking

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.

Evaluation procedure

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.

Configuration: AK-score-single · 0.0010
Protocol: CASF-2016 ranking (Protein–ligand binding affinity scoring)
Dataset: CASF-2016 ranking

origin: Author-reported evaluation
configuration: Table-specific network configuration; learning rate 0.0010
protocol id: paper-protocol-0c5a1c5ef6896a2d96
dataset version: Not reported
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.
subset: Not reported
population: Not reported
aggregation: Not reported
inputs: Not reported
adaptation: Table-specific network configuration; learning rate 0.0010
budget: Not reported
metric implementation: Not reported

Metadata review: needs review. Unreported conditions prevent automatic comparisons.

Evaluation results

Release 2026-09-17-d277315f7d76 · 1 evaluation · 3 metric rows. Different protocols are not a single leaderboard.

Evaluation setupMetricEvidence origin

Results grouped by the exact reported evaluation
Metric and finding	Coverage and uncertainty	Evidence
AK-score-single · 0.0010: CASF-2016 ranking Configuration: AK-score-single · 0.0010Protocol: CASF-2016 ranking (Protein–ligand binding affinity scoring)Dataset: CASF-2016 ranking 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
0.505 Kendall tau 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 5: CASF-2016 ranking Kendall tau Source checking is not independent reproduction.
0.627 Predictive Index 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 6: CASF-2016 ranking Predictive Index Source checking is not independent reproduction.
0.598 Spearman correlation 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 4: CASF-2016 ranking Spearman correlation Source checking is not independent reproduction.

Evidence table

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.

19 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-17-d277315f7d76
Property and statement	Original source and location	Review and provenance
attributes.comparison.adaptation Table-specific network configuration; learning rate 0.0010 Context-only references	AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks Original source ↗ A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 4: CASF-2016 ranking Spearman correlation Version: version of record Retrieved: 2026-09-16T10:44:03.436853+00:00	not individually reviewed No individual claim review recorded author reported Audit details Field: `attributes.comparison.adaptation` Source artifact SHA-256: `40cfd28dcd587599768ec99a6590ec593486475ff01c7b1d1f229b44aa91bf8d` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.aggregation No value recorded Context-only references	AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks Original source ↗ A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 4: CASF-2016 ranking Spearman correlation Version: version of record Retrieved: 2026-09-16T10:44:03.436853+00:00	missing or unspecified No individual claim review recorded author reported Audit details Field: `attributes.comparison.aggregation` Source artifact SHA-256: `40cfd28dcd587599768ec99a6590ec593486475ff01c7b1d1f229b44aa91bf8d` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.budget No value recorded Context-only references	AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks Original source ↗ A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 4: CASF-2016 ranking Spearman correlation Version: version of record Retrieved: 2026-09-16T10:44:03.436853+00:00	missing or unspecified No individual claim review recorded author reported Audit details Field: `attributes.comparison.budget` Source artifact SHA-256: `40cfd28dcd587599768ec99a6590ec593486475ff01c7b1d1f229b44aa91bf8d` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.dataset_version No value recorded Context-only references	AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks Original source ↗ A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 4: CASF-2016 ranking Spearman correlation Version: version of record Retrieved: 2026-09-16T10:44:03.436853+00:00	missing or unspecified No individual claim review recorded author reported Audit details Field: `attributes.comparison.dataset_version` Source artifact SHA-256: `40cfd28dcd587599768ec99a6590ec593486475ff01c7b1d1f229b44aa91bf8d` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.inputs No value recorded Context-only references	AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks Original source ↗ A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 4: CASF-2016 ranking Spearman correlation Version: version of record Retrieved: 2026-09-16T10:44:03.436853+00:00	missing or unspecified No individual claim review recorded author reported Audit details Field: `attributes.comparison.inputs` Source artifact SHA-256: `40cfd28dcd587599768ec99a6590ec593486475ff01c7b1d1f229b44aa91bf8d` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.metric_implementation No value recorded Context-only references	AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks Original source ↗ A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 4: CASF-2016 ranking Spearman correlation Version: version of record Retrieved: 2026-09-16T10:44:03.436853+00:00	missing or unspecified No individual claim review recorded author reported Audit details Field: `attributes.comparison.metric_implementation` Source artifact SHA-256: `40cfd28dcd587599768ec99a6590ec593486475ff01c7b1d1f229b44aa91bf8d` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.population No value recorded Context-only references	AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks Original source ↗ A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 4: CASF-2016 ranking Spearman correlation Version: version of record Retrieved: 2026-09-16T10:44:03.436853+00:00	missing or unspecified No individual claim review recorded author reported Audit details Field: `attributes.comparison.population` Source artifact SHA-256: `40cfd28dcd587599768ec99a6590ec593486475ff01c7b1d1f229b44aa91bf8d` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.protocol_id paper-protocol-0c5a1c5ef6896a2d96 Context-only references	AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks Original source ↗ A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 4: CASF-2016 ranking Spearman correlation Version: version of record Retrieved: 2026-09-16T10:44:03.436853+00:00	not individually reviewed No individual claim review recorded author reported Audit details Field: `attributes.comparison.protocol_id` Source artifact SHA-256: `40cfd28dcd587599768ec99a6590ec593486475ff01c7b1d1f229b44aa91bf8d` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.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 Original source ↗ A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 4: CASF-2016 ranking Spearman correlation Version: version of record Retrieved: 2026-09-16T10:44:03.436853+00:00	not individually reviewed No individual claim review recorded author reported Audit details Field: `attributes.comparison.split` Source artifact SHA-256: `40cfd28dcd587599768ec99a6590ec593486475ff01c7b1d1f229b44aa91bf8d` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.subset No value recorded Context-only references	AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks Original source ↗ A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 4: CASF-2016 ranking Spearman correlation Version: version of record Retrieved: 2026-09-16T10:44:03.436853+00:00	missing or unspecified No individual claim review recorded author reported Audit details Field: `attributes.comparison.subset` Source artifact SHA-256: `40cfd28dcd587599768ec99a6590ec593486475ff01c7b1d1f229b44aa91bf8d` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact

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Sources and history

Release 2026-09-17-d277315f7d76 · Record review: needs review

AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Original source · version of record

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Technical metadata and extraction receipts

Stable ID: paper-evaluation-355a2aff99184a1c69

areas: molecular-interactions
tasks: Protein–ligand binding affinity scoring
origin: author_reported
protocol: 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.
version: Table-specific network configuration; learning rate 0.0010
comparison: protocol id: paper-protocol-0c5a1c5ef6896a2d96; dataset version: Not reported; 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.; subset: Not reported; population: Not reported; aggregation: Not reported; inputs: Not reported; adaptation: Table-specific network configuration; learning rate 0.0010; budget: Not reported; metric implementation: Not reported
source locator: A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 4: CASF-2016 ranking Spearman correlation
missing metadata: checkpoint revision: unextracted; budget: unreported; split manifest: unextracted

Related records

model: AK-score-single · 0.0010
benchmark: CASF-2016 ranking (Protein–ligand binding affinity scoring)
dataset: CASF-2016 ranking
evaluation: AK-score-single: Kendall tau on CASF-2016 ranking
evaluation: AK-score-single: Predictive Index on CASF-2016 ranking
evaluation: AK-score-single: Spearman correlation on CASF-2016 ranking

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