Protocol

Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays)

Zero-shot: pseudo-log-likelihood difference from token logits; MCC reported as median over assays (Supplementary Table 11).

35 evaluations · 35 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.

35 recorded evaluations, 35 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

35 evaluations · 35 results. Different protocols are not a single leaderboard.

Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) · Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)

Sorted by MCC (PLL-D; median over assays) (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 configuration	MCC (PLL-D; median over assays)
EVO1.5 (8k_base) (zero-shot, Wang et al. 2026)Evaluation	0.13 (best in column)
RiNALMo (mega) (zero-shot, Wang et al. 2026)Evaluation	0.101
AIDO.RNA (1.6B) (zero-shot, Wang et al. 2026)Evaluation	0.098
Uni-RNA (L8) (zero-shot, Wang et al. 2026)Evaluation	0.096
RFamLlama (Large) (zero-shot, Wang et al. 2026)Evaluation	0.09
AIDO.RNA (650M) (zero-shot, Wang et al. 2026)Evaluation	0.088
DGRNA (zero-shot, Wang et al. 2026)Evaluation	0.086
RFamLlama (Base) (zero-shot, Wang et al. 2026)Evaluation	0.078
Uni-RNA (L12) (zero-shot, Wang et al. 2026)Evaluation	0.077
3UTRBERT (K4) (zero-shot, Wang et al. 2026)Evaluation	0.075
NT (zero-shot, Wang et al. 2026)Evaluation	0.075
RiNALMo (giga) (zero-shot, Wang et al. 2026)Evaluation	0.075
RNA-FM (zero-shot, Wang et al. 2026)Evaluation	0.075
RiNALMo (micro) (zero-shot, Wang et al. 2026)Evaluation	0.069
LucaOne (D17.6M) (zero-shot, Wang et al. 2026)Evaluation	0.066
LAMAR (4k) (zero-shot, Wang et al. 2026)Evaluation	0.065
EVO1 (8k_base) (zero-shot, Wang et al. 2026)Evaluation	0.064
SpliceBERT (zero-shot, Wang et al. 2026)Evaluation	0.063
Uni-RNA (L16) (zero-shot, Wang et al. 2026)Evaluation	0.063
LAMAR (2k) (zero-shot, Wang et al. 2026)Evaluation	0.062
LucaOne (G36.8M) (zero-shot, Wang et al. 2026)Evaluation	0.062
DNABERT-2 (zero-shot, Wang et al. 2026)Evaluation	0.061
PlantRNA-FM (zero-shot, Wang et al. 2026)Evaluation	0.061
GenerRNA (zero-shot, Wang et al. 2026)Evaluation	0.059
3UTRBERT (K6) (zero-shot, Wang et al. 2026)Evaluation	0.056
3UTRBERT (K5) (zero-shot, Wang et al. 2026)Evaluation	0.055
ProtRNA (zero-shot, Wang et al. 2026)Evaluation	0.055
MP-RNA (zero-shot, Wang et al. 2026)Evaluation	0.052
RNAErnie (zero-shot, Wang et al. 2026)Evaluation	0.051
LucaOne (D36.0M) (zero-shot, Wang et al. 2026)Evaluation	0.05
UTR_LM (zero-shot, Wang et al. 2026)Evaluation	0.049
DNABERT (k=3) (zero-shot, Wang et al. 2026)Evaluation	0.048
RNABERT (zero-shot, Wang et al. 2026)Evaluation	0.047
DNABERT (k=6) (zero-shot, Wang et al. 2026)Evaluation	0.044
3UTRBERT (K3) (zero-shot, Wang et al. 2026)Evaluation	0.022

All 35 result rows with coverage, uncertainty and sources

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Tested model or methodProtocolDatasetEvaluation setupMetricEvidence origin

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: 3UTRBERT (K3) (zero-shot, Wang et al. 2026)	Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.022 MCC (PLL-D; median over assays) 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 fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, row '3UTRBERT (K3)', column 'MCC' (Median)
Configuration: 3UTRBERT (K4) (zero-shot, Wang et al. 2026)	Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.075 MCC (PLL-D; median over assays) 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 fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, row '3UTRBERT (K4)', column 'MCC' (Median)
Configuration: 3UTRBERT (K5) (zero-shot, Wang et al. 2026)	Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.055 MCC (PLL-D; median over assays) 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 fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, row '3UTRBERT (K5)', column 'MCC' (Median)
Configuration: 3UTRBERT (K6) (zero-shot, Wang et al. 2026)	Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.056 MCC (PLL-D; median over assays) 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 fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, row '3UTRBERT (K6)', column 'MCC' (Median)
Configuration: AIDO.RNA (1.6B) (zero-shot, Wang et al. 2026)	Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.098 MCC (PLL-D; median over assays) 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 fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, 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 fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.088 MCC (PLL-D; median over assays) 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 fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, row 'AIDO.RNA (650M)', column 'MCC' (Median)
Configuration: DGRNA (zero-shot, Wang et al. 2026)	Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.086 MCC (PLL-D; median over assays) unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DGRNA zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, row 'DGRNA', column 'MCC' (Median)
Configuration: DNABERT-2 (zero-shot, Wang et al. 2026)	Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.061 MCC (PLL-D; median over assays) 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-2 zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, row 'DNABERT-2', column 'MCC' (Median)
Configuration: DNABERT (k=3) (zero-shot, Wang et al. 2026)	Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.048 MCC (PLL-D; median over assays) 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 fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, row 'DNABERT (k=3)', column 'MCC' (Median)
Configuration: DNABERT (k=6) (zero-shot, Wang et al. 2026)	Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.044 MCC (PLL-D; median over assays) 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 fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, row 'DNABERT (k=6)', column 'MCC' (Median)
Configuration: EVO1.5 (8k_base) (zero-shot, Wang et al. 2026)	Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.13 MCC (PLL-D; median over assays) unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source EVO1.5 (8k_base) zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, row 'EVO1.5 (8k_base)', column 'MCC' (Median)
Configuration: EVO1 (8k_base) (zero-shot, Wang et al. 2026)	Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.064 MCC (PLL-D; median over assays) unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source EVO1 (8k_base) zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, row 'EVO1 (8k_base)', column 'MCC' (Median)
Configuration: GenerRNA (zero-shot, Wang et al. 2026)	Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.059 MCC (PLL-D; median over assays) unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source GenerRNA zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, row 'GenerRNA', column 'MCC' (Median)
Configuration: LAMAR (2k) (zero-shot, Wang et al. 2026)	Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.062 MCC (PLL-D; median over assays) 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 fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, row 'LAMAR (2k)', column 'MCC' (Median)
Configuration: LAMAR (4k) (zero-shot, Wang et al. 2026)	Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.065 MCC (PLL-D; median over assays) 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 fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, row 'LAMAR (4k)', column 'MCC' (Median)
Configuration: LucaOne (D17.6M) (zero-shot, Wang et al. 2026)	Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.066 MCC (PLL-D; median over assays) 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 fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, row 'LucaOne (D17.6M)', column 'MCC' (Median)
Configuration: LucaOne (D36.0M) (zero-shot, Wang et al. 2026)	Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.05 MCC (PLL-D; median over assays) 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 fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, row 'LucaOne (D36.0M)', column 'MCC' (Median)
Configuration: LucaOne (G36.8M) (zero-shot, Wang et al. 2026)	Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.062 MCC (PLL-D; median over assays) 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 fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, row 'LucaOne (G36.8M)', column 'MCC' (Median)
Configuration: MP-RNA (zero-shot, Wang et al. 2026)	Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.052 MCC (PLL-D; median over assays) 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 fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, row 'MP-RNA', column 'MCC' (Median)
Configuration: NT (zero-shot, Wang et al. 2026)	Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.075 MCC (PLL-D; median over assays) unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NT zero-shot fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, row 'NT', column 'MCC' (Median)
Configuration: PlantRNA-FM (zero-shot, Wang et al. 2026)	Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.061 MCC (PLL-D; median over assays) 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 fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, row 'PlantRNA-FM', column 'MCC' (Median)
Configuration: ProtRNA (zero-shot, Wang et al. 2026)	Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.055 MCC (PLL-D; median over assays) 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 fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, row 'ProtRNA', column 'MCC' (Median)
Configuration: RFamLlama (Base) (zero-shot, Wang et al. 2026)	Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.078 MCC (PLL-D; median over assays) 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 fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, row 'RFamLlama (Base)', column 'MCC' (Median)
Configuration: RFamLlama (Large) (zero-shot, Wang et al. 2026)	Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.09 MCC (PLL-D; median over assays) 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 fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, row 'RFamLlama (Large)', column 'MCC' (Median)
Configuration: RiNALMo (giga) (zero-shot, Wang et al. 2026)	Protocol: Wang et al. 2026 zero-shot fitness, RNAGym ncRNA DMS assays (31 assays), PLL-D, MCC (median over assays) Dataset: RNAGym ncRNA DMS assays (31 assays) (Wang et al. 2026)	0.075 MCC (PLL-D; median over assays) 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 fitness on RNAGym ncRNA DMS assays (31 assays) (PLL-D, MCC, median) lit-rna-20261011-rnalm-zeroshot-protocol-t11-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 11, row 'RiNALMo (giga)', column 'MCC' (Median)

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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 history

Zero-shot benchmarking of RNA language models: Supplementary Information · Original source · bbag098_supplymentary_information_20260209.docx from the Europe PMC supplementary files archive for PMC12963973
Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning · Original source · Briefings in Bioinformatics 2026, bbag098 (issue date 2026-03-01); PMC12963973 full-text XML

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Technical metadata and extraction receipts

Stable ID: lit-rna-20261011-rnalm-zeroshot-protocol-t11-mcc-median

areas: rna-transcriptomes
contexts: research
protocol: Zero-shot: pseudo-log-likelihood difference from token logits. Metric MCC, median over assays.
version: Wang et al. 2026
metric: matthews-correlation-coefficient
metric direction: higher
unit: unitless
metric qualifier: PLL-D; median over assays
source locator: Supplementary Table 11 caption and column 'MCC'; main text Methods
limitations: Zero-shot only; no fine-tuning or task head.; Binarisation for MCC, F1 and AUC in the fitness task is not described in the main text or supplement.

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