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Protocol

CASF-2016 scoring (Protein–ligand binding affinity scoring)

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.

SourcesAK-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

9 evaluations · 9 metric rows

At a glance

Inputs, training, access and other details

Explanatory 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.

Data, procedure and scoring
PropertyDescription and evidence
DatasetsNot extracted or verified for this record.
OrganismsNot extracted or verified for this record.
AssaysNot extracted or verified for this record.
SplitsNot extracted or verified for this record.
Allowed inputsNot extracted or verified for this record.
AdaptationNot extracted or verified for this record.
MetricsNot extracted or verified for this record.
BaselinesNot extracted or verified for this record.

How it works

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.

SourcesAK-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

Evaluation design

Benchmarks 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.

Recorded evaluations

Each evaluation records what was tested and under which conditions.

Published comparisons

Explore the results reported under one evaluation protocol. Each figure keeps its source, dataset and metric together; it is not a ranking across studies.

CASF-2016 scoring · Pearson R

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.

Evaluation protocol · CASF-2016

  1. K DEEP · 0.0001 · Configuration · Independent external evaluation0.738
  2. K DEEP · 0.0005 · Configuration · Independent external evaluation0.709
  3. K DEEP · 0.0006 · Configuration · Independent external evaluation0.701
  4. K DEEP · 0.0010 · Configuration · Independent external evaluation0.715
  5. AK-score-ensemble · Configuration · Author-reported evaluation0.812

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
Values, uncertainty and evidence
Pearson R: original source values
Tested entityPrinted valueUncertaintyEvidence
K DEEP · 0.0001 · Configuration0.738 unitlessNot reportedIndependent 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 · Configuration0.709 unitlessNot reportedIndependent 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 · Configuration0.701 unitlessNot reportedIndependent 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 · Configuration0.715 unitlessNot reportedIndependent 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 · Configuration0.719 unitlessNot reportedAuthor-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 · Configuration0.755 unitlessNot reportedAuthor-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 · Configuration0.759 unitlessNot reportedAuthor-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 · Configuration0.760 unitlessNot reportedAuthor-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 · Configuration0.812 unitlessNot reportedAuthor-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
Scope and limitations
  • Learning rates define distinct evaluated configurations. Table 2 ensemble Pearson 0.812 is distinct from the 30-network ensemble Pearson 0.827 in Figure 3. Do not transfer the 285-complex scoring denominator to ranking or docking rows without their appropriate grouping. Origins are labelled per method; appearance in one table does not constitute independent replication of every model.

Source transcription and grouping reviewed by automated source review on 2026-09-17. These experiments were not independently reproduced by rewire.

Tested entities and results

Release 2026-09-17-d277315f7d76 · 9 evaluations · 9 metric rows. Different protocols are not a single leaderboard.

Results grouped by the exact reported evaluation
Metric and findingCoverage and uncertaintyEvidence
AK-score-ensemble: Protein–ligand binding affinity scoring

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

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

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

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

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

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

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

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

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.

Papers and result coverage

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.

What is still missing

  • exact checkpoint hashes and per-method scored denominators: Table labels alone do not establish these fields; do not infer checkpoint or scored count from model name or dataset size.
Search and extraction details

complete tables extracted

Searches

  • AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks 10.3390/ijms21228424

Evidence locations

  • 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

Strengths and limitations

Strengths and considerations

No source-reviewed explanatory claims are recorded here yet.

Limitations and conditions

No source-reviewed explanatory claims are recorded here yet.

Profile review details

Primary-source transcription and separate automated review. No human sign-off or experimental reproduction.

Stable record: paper-protocol-31d4bca49fb09d2e6f

Evidence table

Inspect claims, sources and review details

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.

3 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-17-d277315f7d76
Property and statementOriginal source and locationReview 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

Original source ↗

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
Retrieved: 2026-09-16T10:44:03.436853+00:00

source checked

automated source review · 2026-09-17

Audit details

Primary-source transcription and separate automated review. No human sign-off or experimental reproduction.

Field: attributes.profile.sections.0.body

Source artifact SHA-256: 40cfd28dcd587599768ec99a6590ec593486475ff01c7b1d1f229b44aa91bf8d

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

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

Original source ↗

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
Retrieved: 2026-09-16T10:44:03.436853+00:00

source checked

automated source review · 2026-09-17

Audit details

Primary-source transcription and separate automated review. No human sign-off or experimental reproduction.

Field: attributes.profile.summary

Source artifact SHA-256: 40cfd28dcd587599768ec99a6590ec593486475ff01c7b1d1f229b44aa91bf8d

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Relationship: evaluates task

reported-task-a78312d5df6dad

Individual claims
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 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
Retrieved: 2026-09-16T10:44:03.436853+00:00

source checked

automated source review · 2026-09-17

Audit details

Field: links:evaluates_task:reported-task-a78312d5df6dad

Claim: paper-claim-88577d8e3397f2091d

Source artifact SHA-256: 40cfd28dcd587599768ec99a6590ec593486475ff01c7b1d1f229b44aa91bf8d

Hash scope: Hash scope not separately documented; inspect source record

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Sources and history

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

1 source records and release historyDownload this release
Technical metadata and extraction receipts

Stable ID: paper-protocol-31d4bca49fb09d2e6f

areas
molecular-interactions
tasks
Protein–ligand binding affinity scoring
entity level
protocol
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.
comparison panels
id: akscore-2020-ijms-21-08424-t002-pearson; title: CASF-2016 scoring · Pearson R; protocol id: paper-protocol-31d4bca49fb09d2e6f; dataset id: reported-dataset-f18fcc23dfa798; metric: Pearson R; unit: unitless; direction: higher; result ids: paper-result-9e734050de598079c9; paper-result-72483382e07392c9e8; paper-result-e2a9ae565f08fe24fe; paper-result-911b32fc8d0598d5be; paper-result-34a81b76f1d1a9be81; paper-result-133a5d56632431cd3b; paper-result-4858fe7af1b8734707; paper-result-3c0f9a1fd4492fa813; lit-b3-048; source ids: akscore-2020; source locator: 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; context: 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.; caveats: Learning rates define distinct evaluated configurations. Table 2 ensemble Pearson 0.812 is distinct from the 30-network ensemble Pearson 0.827 in Figure 3. Do not transfer the 285-complex scoring denominator to ranking or docking rows without their appropriate grouping. Origins are labelled per method; appearance in one table does not constitute independent replication of every model.; review: method: automated_source_review; date: 2026-09-17
benchmark research
review date: 2026-09-17; status: complete_tables_extracted; primary sources: akscore-2020; inspected locators: 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; searched queries: AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks 10.3390/ijms21228424; gaps: exact checkpoint hashes and per-method scored denominators: Table labels alone do not establish these fields; do not infer checkpoint or scored count from model name or dataset size.; claim scope: 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.
legacy kinds
benchmark
entity classification
review date: 2026-09-17; rationale: The source-backed record identifies a specified evaluated procedure and its dataset/split/scoring context. Classify it as a protocol while preserving version and comparison restrictions.; source ids: akscore-2020; source locator: 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; ambiguities: None recorded
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