Ludaic and Elofsson 2026 RNA complex hard set, mean DockQ
Top-ranked model per target scored against the experimental structure (trimmed to resolved residues); mean DockQ over the rna complex hard set.
Overview
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4 recorded evaluations, 4 metric rows. A comparison chart has not yet been validated for these results. The table retains the individual findings and their sources.
Results
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All evaluations
4 evaluations · 4 results. Different protocols are not a single leaderboard.
Protocol: Ludaic and Elofsson 2026 RNA complex hard set, mean DockQ · Dataset: Ludaic and Elofsson 2026 RNA complex hard set
Sorted by DockQ (higher is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.
All 4 result rows with coverage, uncertainty and sources
Filter evaluations
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: AlphaFold3 3.0.1 (Ludaic and Elofsson 2026 RNA benchmark run) | Protocol: Ludaic and Elofsson 2026 RNA complex hard set, mean DockQ Dataset: Ludaic and Elofsson 2026 RNA complex hard set | 0.215 DockQ unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceAlphaFold3 on RNA complex hard set (DockQ) lit-rna-20261011-rna3d-protocol-complex-hard-mean-dockq Aggregation: Not reported Limits of deep-learning-based RNA prediction methods · Table 5, row 'AF3', column 'DockQ' |
| Configuration: Boltz-1 0.4.1 (Ludaic and Elofsson 2026 RNA benchmark run) | Protocol: Ludaic and Elofsson 2026 RNA complex hard set, mean DockQ Dataset: Ludaic and Elofsson 2026 RNA complex hard set | 0.224 DockQ unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceBoltz-1 on RNA complex hard set (DockQ) lit-rna-20261011-rna3d-protocol-complex-hard-mean-dockq Aggregation: Not reported Limits of deep-learning-based RNA prediction methods · Table 5, row 'Boltz-1', column 'DockQ' |
| Configuration: HelixFold3 HelixFold3/73cd80b-hpc1 (Ludaic and Elofsson 2026 RNA benchmark run) | Protocol: Ludaic and Elofsson 2026 RNA complex hard set, mean DockQ Dataset: Ludaic and Elofsson 2026 RNA complex hard set | 0.165 DockQ unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceHelixFold3 on RNA complex hard set (DockQ) lit-rna-20261011-rna3d-protocol-complex-hard-mean-dockq Aggregation: Not reported Limits of deep-learning-based RNA prediction methods · Table 5, row 'HF3', column 'DockQ' |
| Configuration: RosettaFoldNA commit f761af2 (Ludaic and Elofsson 2026 RNA benchmark run) | Protocol: Ludaic and Elofsson 2026 RNA complex hard set, mean DockQ Dataset: Ludaic and Elofsson 2026 RNA complex hard set | 0.105 DockQ unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceRosettaFoldNA on RNA complex hard set (DockQ) lit-rna-20261011-rna3d-protocol-complex-hard-mean-dockq Aggregation: Not reported Limits of deep-learning-based RNA prediction methods · Table 5, row 'RF2NA', column 'DockQ' |
Source checking is not independent reproduction. Release 2026-10-22-1b7cf027e4f6.
Methods and evaluation design
Procedure, tasks and evaluated configurations
Recorded evaluations
Each evaluation records what was tested and under which conditions.
Baseline coverage
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- External evaluations
- 4
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Null control
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Protocol-valid structural control
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Conventional reference
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Thermodynamic folding with protocol-compatible input constraints
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Protocol coverage CSV (gzip) · Model evaluation matrix (gzip) · Source table (gzip) · Release and checksums (gzip)
Coverage is derived from release 2026-10-22-1b7cf027e4f6. Source citations describe the original records; they do not validate an unreviewed baseline proposal. No results have been generated by this audit.
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Strengths, limitations and unresolved questions
Evidence
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Evidence table
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Sources and history
Release 2026-10-22-1b7cf027e4f6 · Record review: source checked
1 source record and release history
- Limits of deep-learning-based RNA prediction methods · Original source · Nucleic Acids Research 2026, gkag813 (issue date 2026-08-01); PMC13501138 full-text XML
Technical metadata and extraction receipts
Stable ID: lit-rna-20261011-rna3d-protocol-complex-hard-mean-dockq
- areas
- rna-transcriptomes; protein-structure
- contexts
- research
- protocol
- Top-ranked model per target scored against the experimental structure (trimmed to resolved residues); mean DockQ over the rna complex hard set
- version
- Ludaic and Elofsson 2026
- metric
- dockq
- metric direction
- higher
- unit
- unitless
- source locator
- Tables 2-5; Methods 'Model evaluation'
- limitations
- Independent benchmark; the authors developed none of the methods.; Easy and hard are defined by structural similarity to the PDB training data and differ for monomers and complexes.
- metric implementation
- DockQ (overall score averaged over interfaces)
Related records
- part of: Ludaic and Elofsson 2026 RNA structure benchmark
- uses data: Ludaic and Elofsson 2026 RNA complex hard set
- assessment: AlphaFold3 on RNA complex hard set (DockQ)
- assessment: Boltz-1 on RNA complex hard set (DockQ)
- assessment: HelixFold3 on RNA complex hard set (DockQ)
- assessment: RosettaFoldNA on RNA complex hard set (DockQ)