rewire.it
Configuration

Single best solver

The single-best-solver baseline selects one docking algorithm for every instance in a fixed benchmark.

SourcesMolecular embedding-based algorithm selection in protein-ligand docking · Introduction (paragraph 2); Introduction (paragraph 3)

1 evaluation · 1 metric row

How it worksEvaluated procedure (conceptual)
Evaluated procedure (conceptual)1. A fixed candidate-solver set and the benchmark’s solver-selection data. Then: 2. Single best solver. Then: 3. One constant algorithm choiceEvaluated procedure (conceptual)1. A fixed candidate-solver set and the benchmark’s solver-selection data. Then: 2. Single best solver. Then: 3. One constant algorithm choiceEvaluated procedure (conceptual)1. A fixed candidate-solver set and the benchmark’s solver-selection data. Then: 2. Single best solver. Then: 3. One constant algorithm choice

Conceptual input–method–output guide. Check the procedure text and linked evaluation for fitted components, additional inputs and exact settings.

SourcesMolecular embedding-based algorithm selection in protein-ligand docking · Materials and methods/Scoring function/Physicochemical plausibility (paragraph 2); Materials and methods/Datasets and preprocessing/Extra benchmarks (paragraph 3)

At a glance

limited source coverage · Automated source review, 2026-09-16. All specifications and missing details

Evaluations and results

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

Results grouped by the exact reported evaluation
Metric and findingCoverage and uncertaintyEvidence
Single best solver: Physically valid protein–ligand pose selection

Single best solver baseline under the same averaged five-fold selection test.

Independent external evaluation · Evaluation metadata: needs review

34.34 RMSD ≤1 Å and PB-valid success

Unit: % · Direction: unknown

Uncertainty: not reported in legacy extract

Scored: Not reported · Eligible: Not reported

source checkedMolecular embedding-based algorithm selection in protein-ligand docking · Table 3, PoseBusters / Mixed / AutoDock row, SBS success column

Source checking is not independent reproduction.

How it works

How the evaluated method works

Choose the algorithm with the best aggregate performance in the protocol’s selection data, then use that same solver on all evaluated cases.

SourcesMolecular embedding-based algorithm selection in protein-ligand docking · Materials and methods/Scoring function/Physicochemical plausibility (paragraph 2); Materials and methods/Datasets and preprocessing/Extra benchmarks (paragraph 3)
What was evaluated

The linked evaluation record identifies Single best solver: Physically valid protein–ligand pose selection. Its dataset, split, adaptation and evidence origin remain attached to the reported results.

SourcesMolecular embedding-based algorithm selection in protein-ligand docking · The named evaluation’s methods and comparison table; exact preserved evaluation IDs: evaluation-lit-b3-045

Strengths and limitations

Profile review details

Primary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction.

Stable record: reported-model-028e4bb9baa074

Specifications

Inputs, training, access and other details

Explanatory profile: limited source coverage · Automated source review, 2026-09-16. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.

Inputs, outputs and configuration
PropertyDescription and evidence
Model typeStudy-specific predictive method; this record is the paper-specific evaluated configuration.
SourcesMolecular embedding-based algorithm selection in protein-ligand docking · Materials and methods/Scoring function/Physicochemical plausibility (paragraph 2); Materials and methods/Datasets and preprocessing/Extra benchmarks (paragraph 3)
Architecture / procedureChoose the algorithm with the best aggregate performance in the protocol’s selection data, then use that same solver on all evaluated cases.
SourcesMolecular embedding-based algorithm selection in protein-ligand docking · Materials and methods/Scoring function/Physicochemical plausibility (paragraph 2); Materials and methods/Datasets and preprocessing/Extra benchmarks (paragraph 3)
Biological inputsA fixed candidate-solver set and the benchmark’s solver-selection data
SourcesMolecular embedding-based algorithm selection in protein-ligand docking · Introduction (paragraph 3); Introduction (paragraph 2)
OutputsOne constant algorithm choice
SourcesMolecular embedding-based algorithm selection in protein-ligand docking · Materials and methods/Scoring function/Physicochemical plausibility (paragraph 2); Materials and methods/Experimental setup/Reporting protocol (paragraph 2)
ParametersNot applicable: this is a selection reference, not a neural model. · Not applicable
SourcesMolecular embedding-based algorithm selection in protein-ligand docking · Materials and methods/Datasets and preprocessing/Dataset (paragraph 2); Results/Benchmark performance/In-domain learning (paragraph 2)
Known versions / configurationSingle best solver is the comparison-table label; that label does not specify an immutable weight revision. · Not reported in inspected sources
SourcesMolecular embedding-based algorithm selection in protein-ligand docking · Model identification in the comparison table and corresponding Methods; immutable checkpoint revision is not supplied by the table label.
Training data / fittingSelect one solver using aggregate training-set performance, then reuse it across test instances; the policy does not train a molecular representation.
SourcesMolecular embedding-based algorithm selection in protein-ligand docking · Materials and methods/Datasets and preprocessing/Extra benchmarks (paragraph 7); Materials and methods/Datasets and preprocessing/Dataset (paragraph 1)
Context limitsNot applicable to a sequence-token limit; applicability follows the selected docking solver and input instance. · Not applicable
SourcesMolecular embedding-based algorithm selection in protein-ligand docking · Introduction (paragraph 2); Discussion/When is MolAS useful in practice? (paragraph 1)
AccessOfficial study implementation and usage documentation: https://github.com/BradWangW/MolAS/blob/a6c417216ddb992f7dc513d511d0429aece4bd61/README.md. This pinned documentation revision is not automatically the evaluated weight revision.
SourcesBradWangW/MolAS README.md · README.md; installation, model download and usage instructions
Code licenceMIT (study repository code at the cited revision; this does not establish every dependency or historical checkpoint licence).
SourcesBradWangW/MolAS LICENSE · LICENSE; complete licence text
Weights licenceNot applicable. · Not applicable
SourcesMolecular embedding-based algorithm selection in protein-ligand docking · Back/Availability notes (paragraph 1); Appendix/Appendix/Supplemental results/Top-k overlap across post-processing settings (paragraph 1)

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.

19 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
Diagram caption

Conceptual input–method–output guide. Check the procedure text and linked evaluation for fitted components, additional inputs and exact settings.

Individual claims
Molecular embedding-based algorithm selection in protein-ligand docking

Original source ↗

Materials and methods/Scoring function/Physicochemical plausibility (paragraph 2); Materials and methods/Datasets and preprocessing/Extra benchmarks (paragraph 3)

Version: PMC archival version PMC13104262.1
Retrieved: 2026-09-16T10:44:03.432565+00:00

source checked

automated source review · 2026-09-16

Audit details

Primary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction.

Field: attributes.profile.diagram.caption

Source artifact SHA-256: d556d47e0f7bbdc37eb62374b85ac9092dc7ff438fbae9e42892ac2cc784023f

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

Inspected artifact

Diagram steps

["A fixed candidate-solver set and the benchmark’s solver-selection data","Single best solver","One constant algorithm choice"]

Individual claims
Molecular embedding-based algorithm selection in protein-ligand docking

Original source ↗

Materials and methods/Scoring function/Physicochemical plausibility (paragraph 2); Materials and methods/Datasets and preprocessing/Extra benchmarks (paragraph 3)

Version: PMC archival version PMC13104262.1
Retrieved: 2026-09-16T10:44:03.432565+00:00

source checked

automated source review · 2026-09-16

Audit details

Primary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction.

Field: attributes.profile.diagram.steps

Source artifact SHA-256: d556d47e0f7bbdc37eb62374b85ac9092dc7ff438fbae9e42892ac2cc784023f

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

Inspected artifact

Diagram title

Evaluated procedure (conceptual)

Individual claims
Molecular embedding-based algorithm selection in protein-ligand docking

Original source ↗

Materials and methods/Scoring function/Physicochemical plausibility (paragraph 2); Materials and methods/Datasets and preprocessing/Extra benchmarks (paragraph 3)

Version: PMC archival version PMC13104262.1
Retrieved: 2026-09-16T10:44:03.432565+00:00

source checked

automated source review · 2026-09-16

Audit details

Primary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction.

Field: attributes.profile.diagram.title

Source artifact SHA-256: d556d47e0f7bbdc37eb62374b85ac9092dc7ff438fbae9e42892ac2cc784023f

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

Inspected artifact

Model type

Study-specific predictive method; this record is the paper-specific evaluated configuration.

Individual claims
Molecular embedding-based algorithm selection in protein-ligand docking

Original source ↗

Materials and methods/Scoring function/Physicochemical plausibility (paragraph 2); Materials and methods/Datasets and preprocessing/Extra benchmarks (paragraph 3)

Version: PMC archival version PMC13104262.1
Retrieved: 2026-09-16T10:44:03.432565+00:00

source checked

automated source review · 2026-09-16

Audit details

Primary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction.

Field: attributes.profile.facts.0.value

Source artifact SHA-256: d556d47e0f7bbdc37eb62374b85ac9092dc7ff438fbae9e42892ac2cc784023f

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

Inspected artifact

Architecture / procedure

Choose the algorithm with the best aggregate performance in the protocol’s selection data, then use that same solver on all evaluated cases.

Individual claims
Molecular embedding-based algorithm selection in protein-ligand docking

Original source ↗

Materials and methods/Scoring function/Physicochemical plausibility (paragraph 2); Materials and methods/Datasets and preprocessing/Extra benchmarks (paragraph 3)

Version: PMC archival version PMC13104262.1
Retrieved: 2026-09-16T10:44:03.432565+00:00

source checked

automated source review · 2026-09-16

Audit details

Primary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction.

Field: attributes.profile.facts.1.value

Source artifact SHA-256: d556d47e0f7bbdc37eb62374b85ac9092dc7ff438fbae9e42892ac2cc784023f

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

Inspected artifact

Weights licence

Not applicable.

Individual claims
Molecular embedding-based algorithm selection in protein-ligand docking

Original source ↗

Back/Availability notes (paragraph 1); Appendix/Appendix/Supplemental results/Top-k overlap across post-processing settings (paragraph 1)

Version: PMC archival version PMC13104262.1
Retrieved: 2026-09-16T10:44:03.432565+00:00

inapplicable

automated source review · 2026-09-16

Audit details

Primary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction.

Field: attributes.profile.facts.10.value

Source artifact SHA-256: d556d47e0f7bbdc37eb62374b85ac9092dc7ff438fbae9e42892ac2cc784023f

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

Inspected artifact

Biological inputs

A fixed candidate-solver set and the benchmark’s solver-selection data

Individual claims
Molecular embedding-based algorithm selection in protein-ligand docking

Original source ↗

Introduction (paragraph 3); Introduction (paragraph 2)

Version: PMC archival version PMC13104262.1
Retrieved: 2026-09-16T10:44:03.432565+00:00

source checked

automated source review · 2026-09-16

Audit details

Primary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction.

Field: attributes.profile.facts.2.value

Source artifact SHA-256: d556d47e0f7bbdc37eb62374b85ac9092dc7ff438fbae9e42892ac2cc784023f

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

Inspected artifact

Outputs

One constant algorithm choice

Individual claims
Molecular embedding-based algorithm selection in protein-ligand docking

Original source ↗

Materials and methods/Scoring function/Physicochemical plausibility (paragraph 2); Materials and methods/Experimental setup/Reporting protocol (paragraph 2)

Version: PMC archival version PMC13104262.1
Retrieved: 2026-09-16T10:44:03.432565+00:00

source checked

automated source review · 2026-09-16

Audit details

Primary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction.

Field: attributes.profile.facts.3.value

Source artifact SHA-256: d556d47e0f7bbdc37eb62374b85ac9092dc7ff438fbae9e42892ac2cc784023f

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

Inspected artifact

Parameters

Not applicable: this is a selection reference, not a neural model.

Individual claims
Molecular embedding-based algorithm selection in protein-ligand docking

Original source ↗

Materials and methods/Datasets and preprocessing/Dataset (paragraph 2); Results/Benchmark performance/In-domain learning (paragraph 2)

Version: PMC archival version PMC13104262.1
Retrieved: 2026-09-16T10:44:03.432565+00:00

inapplicable

automated source review · 2026-09-16

Audit details

Primary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction.

Field: attributes.profile.facts.4.value

Source artifact SHA-256: d556d47e0f7bbdc37eb62374b85ac9092dc7ff438fbae9e42892ac2cc784023f

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

Inspected artifact

Known versions / configuration

Single best solver is the comparison-table label; that label does not specify an immutable weight revision.

Individual claims
Molecular embedding-based algorithm selection in protein-ligand docking

Original source ↗

Model identification in the comparison table and corresponding Methods; immutable checkpoint revision is not supplied by the table label.

Version: PMC archival version PMC13104262.1
Retrieved: 2026-09-16T10:44:03.432565+00:00

unreported

automated source review · 2026-09-16

Audit details

Primary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction.

Field: attributes.profile.facts.5.value

Source artifact SHA-256: d556d47e0f7bbdc37eb62374b85ac9092dc7ff438fbae9e42892ac2cc784023f

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

Inspected artifact

Sources and history

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

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

Stable ID: reported-model-028e4bb9baa074

areas
molecular-interactions
entity level
method
version
Not reported
reported name
Single best solver
historical missing metadata
version: not_reported_in_legacy_extract; checkpoint revision: not_reported_in_legacy_extract; training data: not_reported_in_legacy_extract; licence: not_reported_in_legacy_extract
metadata review scope
historical_missing_metadata preserves the original discovery state. Current descriptive evidence and missingness are recorded in profile.facts; numerical-result review is separate.
legacy kinds
model
entity classification
review date: 2026-09-17; rationale: This source-scoped entry preserves the method/configuration actually named in an evaluation. It is neither a global family identity nor proof of an immutable checkpoint; the linked evaluation retains adaptation, fitting and scoring details.; source ids: molas-2026; source locator: Materials and methods/Scoring function/Physicochemical plausibility (paragraph 2); Materials and methods/Datasets and preprocessing/Extra benchmarks (paragraph 3) | Introduction (paragraph 2); Introduction (paragraph 3); ambiguities: Configuration means the source-labelled evaluated identity. It does not establish missing checkpoint hashes, default settings or equivalence to same-named records in other papers.
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