rewirebio.iobenchmarks
Protocol

Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)

Zero-shot: symmetrised, APC-corrected attention map from one head-layer and threshold chosen on VL1 by F1; MCC reported as median over structures (Supplementary Table 4).

32 evaluations · 32 results

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.

32 recorded evaluations, 32 metric rows. A comparison chart has not yet been validated for these results. The table retains the individual findings and their sources.

View coverage and remaining gaps across all benchmarks

Results

Results are available, but no reviewed comparison panel is linked in this release.

All evaluations

32 evaluations · 32 results. Different protocols are not a single leaderboard.

Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures) · Dataset: TS test set (70 PDB structures) (Wang et al. 2026)

Sorted by MCC (attention; median over structures) (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.

Tested configurationMCC (attention; median over structures)
RNA-MSM (zero-shot, Wang et al. 2026)Evaluation0.634 (best in column)
AIDO.RNA (1.6B) (zero-shot, Wang et al. 2026)Evaluation0.595
MP-RNA (zero-shot, Wang et al. 2026)Evaluation0.515
RNA-km (zero-shot, Wang et al. 2026)Evaluation0.489
AIDO.RNA (650M) (zero-shot, Wang et al. 2026)Evaluation0.469
RiNALMo (giga) (zero-shot, Wang et al. 2026)Evaluation0.416
ERNIE-RNA (zero-shot, Wang et al. 2026)Evaluation0.356
ProtRNA (zero-shot, Wang et al. 2026)Evaluation0.323
RiNALMo (mega) (zero-shot, Wang et al. 2026)Evaluation0.317
Uni-RNA (L16) (zero-shot, Wang et al. 2026)Evaluation0.308
RiNALMo (micro) (zero-shot, Wang et al. 2026)Evaluation0.268
Uni-RNA (L12) (zero-shot, Wang et al. 2026)Evaluation0.244
RNAErnie (zero-shot, Wang et al. 2026)Evaluation0.236
LucaOne (G36.8M) (zero-shot, Wang et al. 2026)Evaluation0.228
Uni-RNA (L8) (zero-shot, Wang et al. 2026)Evaluation0.219
RNA-FM (zero-shot, Wang et al. 2026)Evaluation0.186
LucaOne (D17.6M) (zero-shot, Wang et al. 2026)Evaluation0.182
LucaOne (D36.0M) (zero-shot, Wang et al. 2026)Evaluation0.135
PlantRNA-FM (zero-shot, Wang et al. 2026)Evaluation0.116
RFamLlama (Large) (zero-shot, Wang et al. 2026)Evaluation0.036
LAMAR (2k) (zero-shot, Wang et al. 2026)Evaluation0.031
RFamLlama (Base) (zero-shot, Wang et al. 2026)Evaluation0.029
SpliceBERT (zero-shot, Wang et al. 2026)Evaluation0.022
3UTRBERT (K6) (zero-shot, Wang et al. 2026)Evaluation0.008
UTR_LM (zero-shot, Wang et al. 2026)Evaluation0.006
DNABERT (k=6) (zero-shot, Wang et al. 2026)Evaluation0.003
LAMAR (4k) (zero-shot, Wang et al. 2026)Evaluation0
RNABERT (zero-shot, Wang et al. 2026)Evaluation-0.001
3UTRBERT (K3) (zero-shot, Wang et al. 2026)Evaluation-0.002
3UTRBERT (K5) (zero-shot, Wang et al. 2026)Evaluation-0.002
3UTRBERT (K4) (zero-shot, Wang et al. 2026)Evaluation-0.005
DNABERT (k=3) (zero-shot, Wang et al. 2026)Evaluation-0.006
All 32 result rows with coverage, uncertainty and sources
Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: 3UTRBERT (K3) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
-0.002 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K3) zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row '3UTRBERT (K3)', column 'MCC' (Median)
Configuration: 3UTRBERT (K4) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
-0.005 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K4) zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row '3UTRBERT (K4)', column 'MCC' (Median)
Configuration: 3UTRBERT (K5) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
-0.002 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K5) zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row '3UTRBERT (K5)', column 'MCC' (Median)
Configuration: 3UTRBERT (K6) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
0.008 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

3UTRBERT (K6) zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row '3UTRBERT (K6)', column 'MCC' (Median)
Configuration: AIDO.RNA (1.6B) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
0.595 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

AIDO.RNA (1.6B) zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row 'AIDO.RNA (1.6B)', column 'MCC' (Median)
Configuration: AIDO.RNA (650M) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
0.469 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

AIDO.RNA (650M) zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row 'AIDO.RNA (650M)', column 'MCC' (Median)
Configuration: DNABERT (k=3) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
-0.006 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

DNABERT (k=3) zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row 'DNABERT (k=3)', column 'MCC' (Median)
Configuration: DNABERT (k=6) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
0.003 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

DNABERT (k=6) zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row 'DNABERT (k=6)', column 'MCC' (Median)
Configuration: ERNIE-RNA (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
0.356 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

ERNIE-RNA zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row 'ERNIE-RNA', column 'MCC' (Median)
Configuration: LAMAR (2k) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
0.031 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

LAMAR (2k) zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row 'LAMAR (2k)', column 'MCC' (Median)
Configuration: LAMAR (4k) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
0 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

LAMAR (4k) zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row 'LAMAR (4k)', column 'MCC' (Median)
Configuration: LucaOne (D17.6M) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
0.182 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

LucaOne (D17.6M) zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row 'LucaOne (D17.6M)', column 'MCC' (Median)
Configuration: LucaOne (D36.0M) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
0.135 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

LucaOne (D36.0M) zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row 'LucaOne (D36.0M)', column 'MCC' (Median)
Configuration: LucaOne (G36.8M) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
0.228 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

LucaOne (G36.8M) zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row 'LucaOne (G36.8M)', column 'MCC' (Median)
Configuration: MP-RNA (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
0.515 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MP-RNA zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row 'MP-RNA', column 'MCC' (Median)
Configuration: PlantRNA-FM (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
0.116 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

PlantRNA-FM zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row 'PlantRNA-FM', column 'MCC' (Median)
Configuration: ProtRNA (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
0.323 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

ProtRNA zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row 'ProtRNA', column 'MCC' (Median)
Configuration: RFamLlama (Base) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
0.029 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

RFamLlama (Base) zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row 'RFamLlama (Base)', column 'MCC' (Median)
Configuration: RFamLlama (Large) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
0.036 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

RFamLlama (Large) zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row 'RFamLlama (Large)', column 'MCC' (Median)
Configuration: RiNALMo (giga) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
0.416 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

RiNALMo (giga) zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row 'RiNALMo (giga)', column 'MCC' (Median)
Configuration: RiNALMo (mega) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
0.317 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

RiNALMo (mega) zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row 'RiNALMo (mega)', column 'MCC' (Median)
Configuration: RiNALMo (micro) (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
0.268 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

RiNALMo (micro) zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row 'RiNALMo (micro)', column 'MCC' (Median)
Configuration: RNA-FM (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
0.186 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

RNA-FM zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row 'RNA-FM', column 'MCC' (Median)
Configuration: RNA-km (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
0.489 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

RNA-km zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row 'RNA-km', column 'MCC' (Median)
Configuration: RNA-MSM (zero-shot, Wang et al. 2026)Protocol: Wang et al. 2026 zero-shot secondary structure, TS test set (70 PDB structures), attention, MCC (median over structures)
Dataset: TS test set (70 PDB structures) (Wang et al. 2026)
0.634 MCC (attention; median over structures)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

RNA-MSM zero-shot secondary structure on TS test set (70 PDB structures) (attention, MCC, median)

lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

Aggregation: Not reported

Zero-shot benchmarking of RNA language models: Supplementary Information; Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Supplementary Table 4, row 'RNA-MSM', column 'MCC' (Median)

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

Methods and evaluation design

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Recorded evaluations

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Explore all linked results

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.

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Author-reported evaluations
1
External evaluations
31

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Null control

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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.

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

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Stable ID: lit-rna-20261011-rnalm-zeroshot-protocol-t4-mcc-median

areas
rna-transcriptomes
contexts
research
protocol
Zero-shot: symmetrised, APC-corrected attention map from one head-layer and threshold chosen on VL1 by F1. Metric MCC, median over structures.
version
Wang et al. 2026
metric
matthews-correlation-coefficient
metric direction
higher
unit
unitless
metric qualifier
attention; median over structures
source locator
Supplementary Table 4 caption and column 'MCC'; main text Methods
limitations
Zero-shot only; no fine-tuning or task head.; Base pairs come from 3D structures; one head-layer and threshold per model chosen on VL1.
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