Ludaic and Elofsson 2026 Monomeric RNA hard set, GDT-TS success rate
Percentage of targets whose model exceeds the CASP16 success threshold for GDT-TS (TM-score > 0.45, GDT-TS > 0.45, INF > 0.75, lDDT > 0.75).
Overview
An explanatory profile has not yet been reviewed for this record.
Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.
7 recorded evaluations, 7 metric rows. A comparison chart has not yet been validated for these results. The table retains the individual findings and their sources.
Results
Results are available, but no reviewed comparison panel is linked in this release.
All evaluations
7 evaluations · 7 results. Different protocols are not a single leaderboard.
Protocol: Ludaic and Elofsson 2026 Monomeric RNA hard set, GDT-TS success rate · Dataset: Ludaic and Elofsson 2026 Monomeric RNA hard set
Sorted by Success rate (GDT-TS above the CASP16 threshold) (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 7 result rows with coverage, uncertainty and sources
Filter evaluations
Applied filters: All linked evaluations
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.
- AlphaFold3 on Monomeric RNA hard set (GDT-TS, success rate)
- Boltz-1 on Monomeric RNA hard set (GDT-TS, success rate)
- Chai-1 on Monomeric RNA hard set (GDT-TS, success rate)
- DeepFoldRNA on Monomeric RNA hard set (GDT-TS, success rate)
- DRfold on Monomeric RNA hard set (GDT-TS, success rate)
- HelixFold3 on Monomeric RNA hard set (GDT-TS, success rate)
- NuFold on Monomeric RNA hard set (GDT-TS, success rate)
- RosettaFoldNA on Monomeric RNA hard set (GDT-TS, success rate)
- RhoFold+ on Monomeric RNA hard set (GDT-TS, success rate)
- trRosettaRNA on Monomeric RNA hard set (GDT-TS, success rate)
Baseline coverage
Reference methods help show what a model adds beyond simple controls. We track a null control and a conventional method for each protocol.
0 of 2 active baseline roles have published Rewire measurements in this release. Measurements on a selected protocol do not establish coverage of an entire suite.
No execution recipe linked to this protocol. Recipe availability does not establish a completed evaluation.
- External evaluations
- 7
Literature evidence is not a Rewire measurement. Executed but unpublished runs and private review status are not included.
Null control
Proposed control: requires review
Protocol-specific valid geometric or structural control
Protocol-specific applicability, permitted inputs, access, split, evaluator and execution requirements need review before implementation or execution.
This is a suggested selection rule, not a validated method or a measured score.
Conventional reference
Proposed control: requires review
Upstream conventional structural reference with matched templates and cutoffs
Protocol-specific applicability, permitted inputs, access, split, evaluator and execution requirements need review before implementation or execution.
This is a suggested selection rule, not a validated method or a measured score.
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.
Run instructions
No runnable recipe has been reviewed for this protocol. Dataset access, model requirements, licences and compute requirements must be checked against its sources before execution.
Strengths, limitations and unresolved questions
Evidence
Source checking verifies the cited claim or transcription. It does not establish independent reproduction.
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.
0 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|
No evidence rows match these filters. Choose another scope or clear the search.
Sources and history
Release 2026-10-22-1b7cf027e4f6 · Record review: source checked
2 source records and release history
- Limits of deep-learning-based RNA prediction methods: Supplementary Data · Original source · gkag813_supplemental_file.pdf from the Europe PMC supplementary files archive for PMC13501138
- 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-monomer-hard-success-gdt-ts
- areas
- rna-transcriptomes; protein-structure
- contexts
- research
- protocol
- Percentage of targets whose model exceeds the CASP16 success threshold for GDT-TS (TM-score > 0.45, GDT-TS > 0.45, INF > 0.75, lDDT > 0.75)
- version
- Ludaic and Elofsson 2026
- metric
- success-rate
- metric direction
- higher
- unit
- percent
- source locator
- Supplementary Tables S6-S7; Results first section
- 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.
Related records
- part of: Ludaic and Elofsson 2026 RNA structure benchmark
- uses data: Ludaic and Elofsson 2026 Monomeric RNA hard set
- assessment: AlphaFold3 on Monomeric RNA hard set (GDT-TS, success rate)
- assessment: Boltz-1 on Monomeric RNA hard set (GDT-TS, success rate)
- assessment: Chai-1 on Monomeric RNA hard set (GDT-TS, success rate)
- assessment: DeepFoldRNA on Monomeric RNA hard set (GDT-TS, success rate)
- assessment: DRfold on Monomeric RNA hard set (GDT-TS, success rate)
- assessment: HelixFold3 on Monomeric RNA hard set (GDT-TS, success rate)
- assessment: NuFold on Monomeric RNA hard set (GDT-TS, success rate)
- assessment: RosettaFoldNA on Monomeric RNA hard set (GDT-TS, success rate)
- assessment: RhoFold+ on Monomeric RNA hard set (GDT-TS, success rate)
- assessment: trRosettaRNA on Monomeric RNA hard set (GDT-TS, success rate)