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Benchmark

Ludaic and Elofsson 2026 RNA structure benchmark

Independent benchmark of ten deep learning methods on non-redundant monomeric RNAs and RNA-RNA and RNA-protein complexes released after the methods' training cut-offs, split into easy and hard sets by structural similarity to the PDB training data.

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30 protocols with results

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Procedure, tasks and evaluated configurations

Baseline coverage

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Protocol coverage CSV (gzip) · Model evaluation matrix (gzip) · Source table (gzip) · Release and checksums (gzip)

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Strengths, limitations and unresolved questions

Evidence

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Evidence table

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Technical metadata and extraction receipts

Stable ID: lit-rna-20261011-rna3d-benchmark-ludaic2026

areas
rna-transcriptomes; protein-structure
contexts
research
entity level
suite
version
Published 2026 (PDB entries downloaded January 2026)
task
RNA 3D structure prediction for monomers and complexes
scope note
79 monomeric RNAs after excluding three long targets that DRfold and DeepFoldRNA did not produce (Methods); 158 complex structures. Easy/hard split for monomers: maximum RNA-align TM-score to the PDB training data at a 0.5 cut-off; for complexes: an RNA or protein chain with TM-score >= 0.7 to a pre-cut-off complex is easy.
source locator
Methods 'Benchmark dataset' and 'Model generation'; Results sections on monomers and complexes
limitations
The authors developed none of the benchmarked methods.; Means only; per-target scores are in Supplementary Tables S2-S5 and S9-S14.
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