rewirebio.iobenchmarks
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DRfold commit pre-release-4-g9586990 (Ludaic and Elofsson 2026 RNA benchmark run)

DRfold run by Ludaic and Elofsson with default settings on their 2026 RNA structure benchmark.

4 evaluations · 4 results

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Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.

Evaluations and results

4 evaluations · 4 results. Different protocols are not a single leaderboard.

Sorted by Success rate (TM-score 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 4 result rows with coverage, uncertainty and sources
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Configuration: DRfold commit pre-release-4-g9586990 (Ludaic and Elofsson 2026 RNA benchmark run)Protocol: Ludaic and Elofsson 2026 Monomeric RNA easy set, mean TM-score
Dataset: Ludaic and Elofsson 2026 Monomeric RNA easy set
0.458 TM score
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

DRfold on Monomeric RNA easy set (TM-score)

lit-rna-20261011-rna3d-protocol-monomer-easy-mean-tm-score

Aggregation: Not reported

Limits of deep-learning-based RNA prediction methods · Table 2, row 'DRfold', column 'TM-score'
Configuration: DRfold commit pre-release-4-g9586990 (Ludaic and Elofsson 2026 RNA benchmark run)Protocol: Ludaic and Elofsson 2026 Monomeric RNA easy set, TM-score success rate
Dataset: Ludaic and Elofsson 2026 Monomeric RNA easy set
36.7% Success rate (TM-score above the CASP16 threshold)
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

DRfold on Monomeric RNA easy set (TM-score, success rate)

lit-rna-20261011-rna3d-protocol-monomer-easy-success-tm-score

Aggregation: Not reported

Limits of deep-learning-based RNA prediction methods: Supplementary Data; Limits of deep-learning-based RNA prediction methods · Supplementary Table S6, row 'TM-score', column 'DRfold'
Configuration: DRfold commit pre-release-4-g9586990 (Ludaic and Elofsson 2026 RNA benchmark run)Protocol: Ludaic and Elofsson 2026 Monomeric RNA hard set, mean TM-score
Dataset: Ludaic and Elofsson 2026 Monomeric RNA hard set
0.237 TM score
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

DRfold on Monomeric RNA hard set (TM-score)

lit-rna-20261011-rna3d-protocol-monomer-hard-mean-tm-score

Aggregation: Not reported

Limits of deep-learning-based RNA prediction methods · Table 3, row 'DRfold', column 'TM-score'
Configuration: DRfold commit pre-release-4-g9586990 (Ludaic and Elofsson 2026 RNA benchmark run)Protocol: Ludaic and Elofsson 2026 Monomeric RNA hard set, TM-score success rate
Dataset: Ludaic and Elofsson 2026 Monomeric RNA hard set
2.04% Success rate (TM-score above the CASP16 threshold)
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

DRfold on Monomeric RNA hard set (TM-score, success rate)

lit-rna-20261011-rna3d-protocol-monomer-hard-success-tm-score

Aggregation: Not reported

Limits of deep-learning-based RNA prediction methods: Supplementary Data; Limits of deep-learning-based RNA prediction methods · Supplementary Table S7, row 'TM-score', column 'DRfold'

Source checking is not independent reproduction. Release 2026-10-22-1b7cf027e4f6.

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Claims, original sources and review scope · Release 2026-10-22-1b7cf027e4f6
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Release 2026-10-22-1b7cf027e4f6 · Record review: source checked

2 source records and release historyDownload this release (gzip)
Technical metadata and extraction receipts

Stable ID: lit-rna-20261011-rna3d-config-drfold-ludaic2026

areas
rna-transcriptomes; protein-structure
contexts
research
method types
specialist
reported name
DRfold
version
commit pre-release-4-g9586990
parameters
Default settings; one NVIDIA DGX-A100 GPU; shared MSAs (rMSA against RNAcentral and NCBI nt for RNA, MMseqs2 on the ColabFold databases for protein) supplied where the method accepts custom MSAs; five models generated with the same seed and the top-ranked model analysed (native ranking score, else mean pLDDT, else the first or only model)
access reuse
Not stated in the source beyond the software version; see the method's own release
foundation model eligible
false
source locator
Supplementary Table S1 row 'DRfold'; Methods 'Model generation'
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