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Configuration

RhoFold+

RhoFold+ predicts RNA three-dimensional structures from RNA sequence with alignment information.

Sources (3)ml4bio/RhoFold: README.md; cuhkaih/rhofold: README.md; rhofold: Journal full-text XML · Paper: Automated end-to-end platform, Large-scale pretraining dataset, Efficient development of a self-distillation dataset, Feature processing with Rhoformer and Data availability; README.md: Usage; official cuhkaih/rhofold card licence metadata

6 evaluations · 12 metric rows

How it worksRhoFold+ workflow
RhoFold+ workflow1. RNA sequence and MSA. Then: 2. RhoFold+ prediction. Then: 3. Structure and confidence. Then: 4. Optional relaxationRhoFold+ workflow1. RNA sequence and MSA. Then: 2. RhoFold+ prediction. Then: 3. Structure and confidence. Then: 4. Optional relaxationRhoFold+ workflow1. RNA sequence and MSA. Then: 2. RhoFold+ prediction. Then: 3. Structure and confidence. Then: 4. Optional relaxation

Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation.

Sources (3)ml4bio/RhoFold: README.md; cuhkaih/rhofold: README.md; rhofold: Journal full-text XML · Paper: Automated end-to-end platform, Large-scale pretraining dataset, Efficient development of a self-distillation dataset, Feature processing with Rhoformer and Data availability; README.md: Usage; official cuhkaih/rhofold card licence metadata

Overview

Model type

RNA structure predictor with language-model and MSA inputs

Sources (3)ml4bio/RhoFold: README.md; cuhkaih/rhofold: README.md; rhofold: Journal full-text XML · Paper: Automated end-to-end platform, Large-scale pretraining dataset, Efficient development of a self-distillation dataset, Feature processing with Rhoformer and Data availability; README.md: Usage; official cuhkaih/rhofold card licence metadata

Inputs

RNA FASTA (A, U, G, C), optionally a supplied MSA; an MSA is otherwise generated by the full workflow.

Sources (3)ml4bio/RhoFold: README.md; cuhkaih/rhofold: README.md; rhofold: Journal full-text XML · Paper: Automated end-to-end platform, Large-scale pretraining dataset, Efficient development of a self-distillation dataset, Feature processing with Rhoformer and Data availability; README.md: Usage; official cuhkaih/rhofold card licence metadata

Outputs

Three-dimensional PDB models, predicted distograms, secondary structure and per-residue confidence.

Sources (3)ml4bio/RhoFold: README.md; cuhkaih/rhofold: README.md; rhofold: Journal full-text XML · Paper: Automated end-to-end platform, Large-scale pretraining dataset, Efficient development of a self-distillation dataset, Feature processing with Rhoformer and Data availability; README.md: Usage; official cuhkaih/rhofold card licence metadata

Access

Official project documentation and implementation: https://github.com/ml4bio/RhoFold

Sources (3)ml4bio/RhoFold: README.md; cuhkaih/rhofold: README.md; rhofold: Journal full-text XML · Paper: Automated end-to-end platform, Large-scale pretraining dataset, Efficient development of a self-distillation dataset, Feature processing with Rhoformer and Data availability; README.md: Usage; official cuhkaih/rhofold card licence metadata

limited source coverage · Automated source review, 2026-09-16. All specifications and missing details

Evaluations and results

6 evaluations · 12 metric rows. Different protocols are not a single leaderboard.

Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: RhoFold+Protocol: RhoFold+ 2024 CASP15 natural RNA comparison R1107-rmsd: R1107: RMSD
Dataset subset: CASP15 natural RNA target R1107 (RhoFold+ 2024 CASP15 natural RNA comparison split)
5.01 Å rmsd
angstrom · lower

Uncertainty: Not reported

Coverage: unit: CASP15 natural RNA target; scored: 1; eligible: 1; note: Per-cell target count; source retains up to five candidate structures, not five independent evaluation targets.

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

RhoFold+ on RhoFold+ 2024 CASP15 natural RNA comparison R1107-rmsd: R1107: RMSD

Retrospective evaluation of six CASP15 natural single-chain RNA targets; each task retains one named target. Artificially designed targets and RNA-protein complexes excluded. RNA sequence inputs without ions or other molecules. Paper Par13 selects the highest-performing of five candidates; Par51 describes five sampled-MSA runs for RhoFold+, one AlphaFold3 server run yielding five models, and five CASP15 models for the other methods. Figure 2h reports RMSD and sum of Z-scores for GDT-TS and TM-score. Metric-specific winning candidate identity, exact scoring-tool revision and RMSD atom selection remain unextracted. No target pooling or score recomputation.

Aggregation: Source-reported selected candidate for one target; no cross-target aggregation.

RhoFold+ Nature Methods 2024: Source Data Figure 2h · fig2hi!B11; method fig2hi!A11; target fig2hi!B1; Fig. 2h caption; XML Par13–15 and Par51
Configuration: RhoFold+Protocol: RhoFold+ 2024 CASP15 natural RNA comparison R1107-sum_z_gdt_ts_tm_score: R1107: Sum of Z-scores for GDT-TS and TM-score
Dataset subset: CASP15 natural RNA target R1107 (RhoFold+ 2024 CASP15 natural RNA comparison split)
4.68 sum_z_gdt_ts_tm_score
dimensionless · higher

Uncertainty: Not reported

Coverage: unit: CASP15 natural RNA target; scored: 1; eligible: 1; note: Per-cell target count; source retains up to five candidate structures, not five independent evaluation targets.

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

RhoFold+ on RhoFold+ 2024 CASP15 natural RNA comparison R1107-sum_z_gdt_ts_tm_score: R1107: Sum of Z-scores for GDT-TS and TM-score

Retrospective evaluation of six CASP15 natural single-chain RNA targets; each task retains one named target. Artificially designed targets and RNA-protein complexes excluded. RNA sequence inputs without ions or other molecules. Paper Par13 selects the highest-performing of five candidates; Par51 describes five sampled-MSA runs for RhoFold+, one AlphaFold3 server run yielding five models, and five CASP15 models for the other methods. Figure 2h reports RMSD and sum of Z-scores for GDT-TS and TM-score. Metric-specific winning candidate identity, exact scoring-tool revision and RMSD atom selection remain unextracted. No target pooling or score recomputation.

Aggregation: Source-reported selected candidate for one target; no cross-target aggregation.

RhoFold+ Nature Methods 2024: Source Data Figure 2h · fig2hi!H11; method fig2hi!A11; target fig2hi!H1; Fig. 2h caption; XML Par13–15 and Par51
Configuration: RhoFold+Protocol: RhoFold+ 2024 CASP15 natural RNA comparison R1108-rmsd: R1108: RMSD
Dataset subset: CASP15 natural RNA target R1108 (RhoFold+ 2024 CASP15 natural RNA comparison split)
4.54 Å rmsd
angstrom · lower

Uncertainty: Not reported

Coverage: unit: CASP15 natural RNA target; scored: 1; eligible: 1; note: Per-cell target count; source retains up to five candidate structures, not five independent evaluation targets.

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

RhoFold+ on RhoFold+ 2024 CASP15 natural RNA comparison R1108-rmsd: R1108: RMSD

Retrospective evaluation of six CASP15 natural single-chain RNA targets; each task retains one named target. Artificially designed targets and RNA-protein complexes excluded. RNA sequence inputs without ions or other molecules. Paper Par13 selects the highest-performing of five candidates; Par51 describes five sampled-MSA runs for RhoFold+, one AlphaFold3 server run yielding five models, and five CASP15 models for the other methods. Figure 2h reports RMSD and sum of Z-scores for GDT-TS and TM-score. Metric-specific winning candidate identity, exact scoring-tool revision and RMSD atom selection remain unextracted. No target pooling or score recomputation.

Aggregation: Source-reported selected candidate for one target; no cross-target aggregation.

RhoFold+ Nature Methods 2024: Source Data Figure 2h · fig2hi!C11; method fig2hi!A11; target fig2hi!C1; Fig. 2h caption; XML Par13–15 and Par51
Configuration: RhoFold+Protocol: RhoFold+ 2024 CASP15 natural RNA comparison R1108-sum_z_gdt_ts_tm_score: R1108: Sum of Z-scores for GDT-TS and TM-score
Dataset subset: CASP15 natural RNA target R1108 (RhoFold+ 2024 CASP15 natural RNA comparison split)
4.5199999999999996 sum_z_gdt_ts_tm_score
dimensionless · higher

Uncertainty: Not reported

Coverage: unit: CASP15 natural RNA target; scored: 1; eligible: 1; note: Per-cell target count; source retains up to five candidate structures, not five independent evaluation targets.

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

RhoFold+ on RhoFold+ 2024 CASP15 natural RNA comparison R1108-sum_z_gdt_ts_tm_score: R1108: Sum of Z-scores for GDT-TS and TM-score

Retrospective evaluation of six CASP15 natural single-chain RNA targets; each task retains one named target. Artificially designed targets and RNA-protein complexes excluded. RNA sequence inputs without ions or other molecules. Paper Par13 selects the highest-performing of five candidates; Par51 describes five sampled-MSA runs for RhoFold+, one AlphaFold3 server run yielding five models, and five CASP15 models for the other methods. Figure 2h reports RMSD and sum of Z-scores for GDT-TS and TM-score. Metric-specific winning candidate identity, exact scoring-tool revision and RMSD atom selection remain unextracted. No target pooling or score recomputation.

Aggregation: Source-reported selected candidate for one target; no cross-target aggregation.

RhoFold+ Nature Methods 2024: Source Data Figure 2h · fig2hi!I11; method fig2hi!A11; target fig2hi!I1; Fig. 2h caption; XML Par13–15 and Par51
Configuration: RhoFold+Protocol: RhoFold+ 2024 CASP15 natural RNA comparison R1116-rmsd: R1116: RMSD
Dataset subset: CASP15 natural RNA target R1116 (RhoFold+ 2024 CASP15 natural RNA comparison split)
8.92 Å rmsd
angstrom · lower

Uncertainty: Not reported

Coverage: unit: CASP15 natural RNA target; scored: 1; eligible: 1; note: Per-cell target count; source retains up to five candidate structures, not five independent evaluation targets.

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

RhoFold+ on RhoFold+ 2024 CASP15 natural RNA comparison R1116-rmsd: R1116: RMSD

Retrospective evaluation of six CASP15 natural single-chain RNA targets; each task retains one named target. Artificially designed targets and RNA-protein complexes excluded. RNA sequence inputs without ions or other molecules. Paper Par13 selects the highest-performing of five candidates; Par51 describes five sampled-MSA runs for RhoFold+, one AlphaFold3 server run yielding five models, and five CASP15 models for the other methods. Figure 2h reports RMSD and sum of Z-scores for GDT-TS and TM-score. Metric-specific winning candidate identity, exact scoring-tool revision and RMSD atom selection remain unextracted. No target pooling or score recomputation.

Aggregation: Source-reported selected candidate for one target; no cross-target aggregation.

RhoFold+ Nature Methods 2024: Source Data Figure 2h · fig2hi!D11; method fig2hi!A11; target fig2hi!D1; Fig. 2h caption; XML Par13–15 and Par51
Configuration: RhoFold+Protocol: RhoFold+ 2024 CASP15 natural RNA comparison R1116-sum_z_gdt_ts_tm_score: R1116: Sum of Z-scores for GDT-TS and TM-score
Dataset subset: CASP15 natural RNA target R1116 (RhoFold+ 2024 CASP15 natural RNA comparison split)
2.68 sum_z_gdt_ts_tm_score
dimensionless · higher

Uncertainty: Not reported

Coverage: unit: CASP15 natural RNA target; scored: 1; eligible: 1; note: Per-cell target count; source retains up to five candidate structures, not five independent evaluation targets.

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

RhoFold+ on RhoFold+ 2024 CASP15 natural RNA comparison R1116-sum_z_gdt_ts_tm_score: R1116: Sum of Z-scores for GDT-TS and TM-score

Retrospective evaluation of six CASP15 natural single-chain RNA targets; each task retains one named target. Artificially designed targets and RNA-protein complexes excluded. RNA sequence inputs without ions or other molecules. Paper Par13 selects the highest-performing of five candidates; Par51 describes five sampled-MSA runs for RhoFold+, one AlphaFold3 server run yielding five models, and five CASP15 models for the other methods. Figure 2h reports RMSD and sum of Z-scores for GDT-TS and TM-score. Metric-specific winning candidate identity, exact scoring-tool revision and RMSD atom selection remain unextracted. No target pooling or score recomputation.

Aggregation: Source-reported selected candidate for one target; no cross-target aggregation.

RhoFold+ Nature Methods 2024: Source Data Figure 2h · fig2hi!J11; method fig2hi!A11; target fig2hi!J1; Fig. 2h caption; XML Par13–15 and Par51
Configuration: RhoFold+Protocol: RhoFold+ 2024 CASP15 natural RNA comparison R1117-rmsd: R1117: RMSD
Dataset subset: CASP15 natural RNA target R1117 (RhoFold+ 2024 CASP15 natural RNA comparison split)
2.87 Å rmsd
angstrom · lower

Uncertainty: Not reported

Coverage: unit: CASP15 natural RNA target; scored: 1; eligible: 1; note: Per-cell target count; source retains up to five candidate structures, not five independent evaluation targets.

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

RhoFold+ on RhoFold+ 2024 CASP15 natural RNA comparison R1117-rmsd: R1117: RMSD

Retrospective evaluation of six CASP15 natural single-chain RNA targets; each task retains one named target. Artificially designed targets and RNA-protein complexes excluded. RNA sequence inputs without ions or other molecules. Paper Par13 selects the highest-performing of five candidates; Par51 describes five sampled-MSA runs for RhoFold+, one AlphaFold3 server run yielding five models, and five CASP15 models for the other methods. Figure 2h reports RMSD and sum of Z-scores for GDT-TS and TM-score. Metric-specific winning candidate identity, exact scoring-tool revision and RMSD atom selection remain unextracted. No target pooling or score recomputation.

Aggregation: Source-reported selected candidate for one target; no cross-target aggregation.

RhoFold+ Nature Methods 2024: Source Data Figure 2h · fig2hi!E11; method fig2hi!A11; target fig2hi!E1; Fig. 2h caption; XML Par13–15 and Par51
Configuration: RhoFold+Protocol: RhoFold+ 2024 CASP15 natural RNA comparison R1117-sum_z_gdt_ts_tm_score: R1117: Sum of Z-scores for GDT-TS and TM-score
Dataset subset: CASP15 natural RNA target R1117 (RhoFold+ 2024 CASP15 natural RNA comparison split)
2.0099999999999998 sum_z_gdt_ts_tm_score
dimensionless · higher

Uncertainty: Not reported

Coverage: unit: CASP15 natural RNA target; scored: 1; eligible: 1; note: Per-cell target count; source retains up to five candidate structures, not five independent evaluation targets.

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

RhoFold+ on RhoFold+ 2024 CASP15 natural RNA comparison R1117-sum_z_gdt_ts_tm_score: R1117: Sum of Z-scores for GDT-TS and TM-score

Retrospective evaluation of six CASP15 natural single-chain RNA targets; each task retains one named target. Artificially designed targets and RNA-protein complexes excluded. RNA sequence inputs without ions or other molecules. Paper Par13 selects the highest-performing of five candidates; Par51 describes five sampled-MSA runs for RhoFold+, one AlphaFold3 server run yielding five models, and five CASP15 models for the other methods. Figure 2h reports RMSD and sum of Z-scores for GDT-TS and TM-score. Metric-specific winning candidate identity, exact scoring-tool revision and RMSD atom selection remain unextracted. No target pooling or score recomputation.

Aggregation: Source-reported selected candidate for one target; no cross-target aggregation.

RhoFold+ Nature Methods 2024: Source Data Figure 2h · fig2hi!K11; method fig2hi!A11; target fig2hi!K1; Fig. 2h caption; XML Par13–15 and Par51
Configuration: RhoFold+Protocol: RhoFold+ 2024 CASP15 natural RNA comparison R1149-rmsd: R1149: RMSD
Dataset subset: CASP15 natural RNA target R1149 (RhoFold+ 2024 CASP15 natural RNA comparison split)
7.66 Å rmsd
angstrom · lower

Uncertainty: Not reported

Coverage: unit: CASP15 natural RNA target; scored: 1; eligible: 1; note: Per-cell target count; source retains up to five candidate structures, not five independent evaluation targets.

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

RhoFold+ on RhoFold+ 2024 CASP15 natural RNA comparison R1149-rmsd: R1149: RMSD

Retrospective evaluation of six CASP15 natural single-chain RNA targets; each task retains one named target. Artificially designed targets and RNA-protein complexes excluded. RNA sequence inputs without ions or other molecules. Paper Par13 selects the highest-performing of five candidates; Par51 describes five sampled-MSA runs for RhoFold+, one AlphaFold3 server run yielding five models, and five CASP15 models for the other methods. Figure 2h reports RMSD and sum of Z-scores for GDT-TS and TM-score. Metric-specific winning candidate identity, exact scoring-tool revision and RMSD atom selection remain unextracted. No target pooling or score recomputation.

Aggregation: Source-reported selected candidate for one target; no cross-target aggregation.

RhoFold+ Nature Methods 2024: Source Data Figure 2h · fig2hi!F11; method fig2hi!A11; target fig2hi!F1; Fig. 2h caption; XML Par13–15 and Par51
Configuration: RhoFold+Protocol: RhoFold+ 2024 CASP15 natural RNA comparison R1149-sum_z_gdt_ts_tm_score: R1149: Sum of Z-scores for GDT-TS and TM-score
Dataset subset: CASP15 natural RNA target R1149 (RhoFold+ 2024 CASP15 natural RNA comparison split)
3.75 sum_z_gdt_ts_tm_score
dimensionless · higher

Uncertainty: Not reported

Coverage: unit: CASP15 natural RNA target; scored: 1; eligible: 1; note: Per-cell target count; source retains up to five candidate structures, not five independent evaluation targets.

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

RhoFold+ on RhoFold+ 2024 CASP15 natural RNA comparison R1149-sum_z_gdt_ts_tm_score: R1149: Sum of Z-scores for GDT-TS and TM-score

Retrospective evaluation of six CASP15 natural single-chain RNA targets; each task retains one named target. Artificially designed targets and RNA-protein complexes excluded. RNA sequence inputs without ions or other molecules. Paper Par13 selects the highest-performing of five candidates; Par51 describes five sampled-MSA runs for RhoFold+, one AlphaFold3 server run yielding five models, and five CASP15 models for the other methods. Figure 2h reports RMSD and sum of Z-scores for GDT-TS and TM-score. Metric-specific winning candidate identity, exact scoring-tool revision and RMSD atom selection remain unextracted. No target pooling or score recomputation.

Aggregation: Source-reported selected candidate for one target; no cross-target aggregation.

RhoFold+ Nature Methods 2024: Source Data Figure 2h · fig2hi!L11; method fig2hi!A11; target fig2hi!L1; Fig. 2h caption; XML Par13–15 and Par51
Configuration: RhoFold+Protocol: RhoFold+ 2024 CASP15 natural RNA comparison R1156-rmsd: R1156: RMSD
Dataset subset: CASP15 natural RNA target R1156 (RhoFold+ 2024 CASP15 natural RNA comparison split)
17.43 Å rmsd
angstrom · lower

Uncertainty: Not reported

Coverage: unit: CASP15 natural RNA target; scored: 1; eligible: 1; note: Per-cell target count; source retains up to five candidate structures, not five independent evaluation targets.

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

RhoFold+ on RhoFold+ 2024 CASP15 natural RNA comparison R1156-rmsd: R1156: RMSD

Retrospective evaluation of six CASP15 natural single-chain RNA targets; each task retains one named target. Artificially designed targets and RNA-protein complexes excluded. RNA sequence inputs without ions or other molecules. Paper Par13 selects the highest-performing of five candidates; Par51 describes five sampled-MSA runs for RhoFold+, one AlphaFold3 server run yielding five models, and five CASP15 models for the other methods. Figure 2h reports RMSD and sum of Z-scores for GDT-TS and TM-score. Metric-specific winning candidate identity, exact scoring-tool revision and RMSD atom selection remain unextracted. No target pooling or score recomputation.

Aggregation: Source-reported selected candidate for one target; no cross-target aggregation.

RhoFold+ Nature Methods 2024: Source Data Figure 2h · fig2hi!G11; method fig2hi!A11; target fig2hi!G1; Fig. 2h caption; XML Par13–15 and Par51
Configuration: RhoFold+Protocol: RhoFold+ 2024 CASP15 natural RNA comparison R1156-sum_z_gdt_ts_tm_score: R1156: Sum of Z-scores for GDT-TS and TM-score
Dataset subset: CASP15 natural RNA target R1156 (RhoFold+ 2024 CASP15 natural RNA comparison split)
1.32 sum_z_gdt_ts_tm_score
dimensionless · higher

Uncertainty: Not reported

Coverage: unit: CASP15 natural RNA target; scored: 1; eligible: 1; note: Per-cell target count; source retains up to five candidate structures, not five independent evaluation targets.

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

RhoFold+ on RhoFold+ 2024 CASP15 natural RNA comparison R1156-sum_z_gdt_ts_tm_score: R1156: Sum of Z-scores for GDT-TS and TM-score

Retrospective evaluation of six CASP15 natural single-chain RNA targets; each task retains one named target. Artificially designed targets and RNA-protein complexes excluded. RNA sequence inputs without ions or other molecules. Paper Par13 selects the highest-performing of five candidates; Par51 describes five sampled-MSA runs for RhoFold+, one AlphaFold3 server run yielding five models, and five CASP15 models for the other methods. Figure 2h reports RMSD and sum of Z-scores for GDT-TS and TM-score. Metric-specific winning candidate identity, exact scoring-tool revision and RMSD atom selection remain unextracted. No target pooling or score recomputation.

Aggregation: Source-reported selected candidate for one target; no cross-target aggregation.

RhoFold+ Nature Methods 2024: Source Data Figure 2h · fig2hi!M11; method fig2hi!A11; target fig2hi!M1; Fig. 2h caption; XML Par13–15 and Par51

Source checking is not independent reproduction. Release 2026-09-23-2b89723c6dd9.

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How it works, versions and access

Related profile: RhoFold+. This page retains the exact record and its evaluation context.

This configuration

RhoFold+ automated five-candidate sampled-MSA configuration evaluated by its authors.

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RhoFold+
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Configuration

How it works

How it works

RhoFold+ predicts RNA three-dimensional structures from RNA sequence with alignment information. RNA-FM embeddings and MSA representations enter the Rhoformer transformer stack; a geometry-aware invariant-point-attention structure module predicts frames and torsion angles with recycling. The documented inputs are RNA FASTA (A, U, G, C), optionally a supplied MSA; an MSA is otherwise generated by the full workflow. The output consists of three-dimensional PDB models, predicted distograms, secondary structure and per-residue confidence.

Sources (3)ml4bio/RhoFold: README.md; cuhkaih/rhofold: README.md; rhofold: Journal full-text XML · Paper: Automated end-to-end platform, Large-scale pretraining dataset, Efficient development of a self-distillation dataset, Feature processing with Rhoformer and Data availability; README.md: Usage; official cuhkaih/rhofold card licence metadata
Versions and reproducibility

RhoFold+; the README links a pretrained checkpoint and the 2024 Nature Methods paper. The paper limits MSA depth to256 sequences during training and default inference. This is alignment depth, not an RNA-length maximum; the latter remains unextracted.

Sources (3)ml4bio/RhoFold: README.md; cuhkaih/rhofold: README.md; rhofold: Journal full-text XML · Paper: Automated end-to-end platform, Large-scale pretraining dataset, Efficient development of a self-distillation dataset, Feature processing with Rhoformer and Data availability; README.md: Usage; official cuhkaih/rhofold card licence metadata
Strengths, limitations and unresolved questions

Strengths and limitations

Strengths and considerations

  • Produces secondary and tertiary outputs and supports provided or automatically generated alignments.
    Sources (3)ml4bio/RhoFold: README.md; cuhkaih/rhofold: README.md; rhofold: Journal full-text XML · Paper: Automated end-to-end platform, Large-scale pretraining dataset, Efficient development of a self-distillation dataset, Feature processing with Rhoformer and Data availability; README.md: Usage; official cuhkaih/rhofold card licence metadata

Limitations and conditions

  • The README labels sequence-only inference as a lower-accuracy testing mode. Constructing the full MSA databases needs substantial local storage; macOS is not supported by its documented setup.
    Sources (3)ml4bio/RhoFold: README.md; cuhkaih/rhofold: README.md; rhofold: Journal full-text XML · Paper: Automated end-to-end platform, Large-scale pretraining dataset, Efficient development of a self-distillation dataset, Feature processing with Rhoformer and Data availability; README.md: Usage; official cuhkaih/rhofold card licence metadata
Profile review details

Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied.

Stable record: catalog-model-rhofold

Specifications

Inputs, training, access and other details

Explanatory profile: limited source coverage · Automated source review, 2026-09-16. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.

Inputs, outputs and configuration
PropertyDescription and evidence
Model typeRNA structure predictor with language-model and MSA inputs
Sources (3)ml4bio/RhoFold: README.md; cuhkaih/rhofold: README.md; rhofold: Journal full-text XML · Paper: Automated end-to-end platform, Large-scale pretraining dataset, Efficient development of a self-distillation dataset, Feature processing with Rhoformer and Data availability; README.md: Usage; official cuhkaih/rhofold card licence metadata
ArchitectureRNA-FM embeddings and MSA representations enter the Rhoformer transformer stack; a geometry-aware invariant-point-attention structure module predicts frames and torsion angles with recycling.
Sources (3)ml4bio/RhoFold: README.md; cuhkaih/rhofold: README.md; rhofold: Journal full-text XML · Paper: Automated end-to-end platform, Large-scale pretraining dataset, Efficient development of a self-distillation dataset, Feature processing with Rhoformer and Data availability; README.md: Usage; official cuhkaih/rhofold card licence metadata
InputsRNA FASTA (A, U, G, C), optionally a supplied MSA; an MSA is otherwise generated by the full workflow.
Sources (3)ml4bio/RhoFold: README.md; cuhkaih/rhofold: README.md; rhofold: Journal full-text XML · Paper: Automated end-to-end platform, Large-scale pretraining dataset, Efficient development of a self-distillation dataset, Feature processing with Rhoformer and Data availability; README.md: Usage; official cuhkaih/rhofold card licence metadata
OutputsThree-dimensional PDB models, predicted distograms, secondary structure and per-residue confidence.
Sources (3)ml4bio/RhoFold: README.md; cuhkaih/rhofold: README.md; rhofold: Journal full-text XML · Paper: Automated end-to-end platform, Large-scale pretraining dataset, Efficient development of a self-distillation dataset, Feature processing with Rhoformer and Data availability; README.md: Usage; official cuhkaih/rhofold card licence metadata
ParametersThe inspected paper describes RNA-FM, Rhoformer and structure modules without stating a total for the complete selected predictor in those architecture sections. · Not reported in inspected sources
Sources (3)ml4bio/RhoFold: README.md; cuhkaih/rhofold: README.md; rhofold: Journal full-text XML · Paper: Automated end-to-end platform, Large-scale pretraining dataset, Efficient development of a self-distillation dataset, Feature processing with Rhoformer and Data availability; README.md: Usage; official cuhkaih/rhofold card licence metadata
Known versionsRhoFold+; the README links a pretrained checkpoint and the 2024 Nature Methods paper.
Sources (3)ml4bio/RhoFold: README.md; cuhkaih/rhofold: README.md; rhofold: Journal full-text XML · Paper: Automated end-to-end platform, Large-scale pretraining dataset, Efficient development of a self-distillation dataset, Feature processing with Rhoformer and Data availability; README.md: Usage; official cuhkaih/rhofold card licence metadata
Training dataRNA-FM pretraining uses RNAcentral100. Structure training uses PDB RNA chains selected through BGSU representative sets, with additional self-distillation from RNAStralign/bpRNA-derived sequences.
Sources (3)ml4bio/RhoFold: README.md; cuhkaih/rhofold: README.md; rhofold: Journal full-text XML · Paper: Automated end-to-end platform, Large-scale pretraining dataset, Efficient development of a self-distillation dataset, Feature processing with Rhoformer and Data availability; README.md: Usage; official cuhkaih/rhofold card licence metadata
Training cutoffStructural-data selection uses the BGSU representative set dated 2022-04-13. This does not establish a single cutoff for every RNA-FM or MSA resource.
Sources (3)ml4bio/RhoFold: README.md; cuhkaih/rhofold: README.md; rhofold: Journal full-text XML · Paper: Automated end-to-end platform, Large-scale pretraining dataset, Efficient development of a self-distillation dataset, Feature processing with Rhoformer and Data availability; README.md: Usage; official cuhkaih/rhofold card licence metadata
Context limitsMSA depth is capped at 256 during documented training and default inference. The reviewed paper does not establish a single RNA-length maximum; MSA depth is a different quantity. · Not reported in inspected sources
Sources (3)ml4bio/RhoFold: README.md; cuhkaih/rhofold: README.md; rhofold: Journal full-text XML · Paper: Automated end-to-end platform, Large-scale pretraining dataset, Efficient development of a self-distillation dataset, Feature processing with Rhoformer and Data availability; README.md: Usage; official cuhkaih/rhofold card licence metadata
Weights licenceApache-2.0 declared in the official cuhkaih/rhofold model-card metadata; this is distinct from access conditions for training data.
Sources (3)ml4bio/RhoFold: README.md; cuhkaih/rhofold: README.md; rhofold: Journal full-text XML · Paper: Automated end-to-end platform, Large-scale pretraining dataset, Efficient development of a self-distillation dataset, Feature processing with Rhoformer and Data availability; README.md: Usage; official cuhkaih/rhofold card licence metadata
AccessOfficial project documentation and implementation: https://github.com/ml4bio/RhoFold
Sources (3)ml4bio/RhoFold: README.md; cuhkaih/rhofold: README.md; rhofold: Journal full-text XML · Paper: Automated end-to-end platform, Large-scale pretraining dataset, Efficient development of a self-distillation dataset, Feature processing with Rhoformer and Data availability; README.md: Usage; official cuhkaih/rhofold card licence metadata
Code licenceApache-2.0
Sourcesml4bio/RhoFold: LICENSE · LICENSE: licence text

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Claims, original sources and review scope · Release 2026-09-23-2b89723c6dd9
Property and statementOriginal source and locationReview and provenance
Relationship: family
catalog-model-rhofold
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RhoFold+ Nature Methods 2024: Source Data Figure 2h

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fig2hi!A11; Figure 2h; primary XML Par13–15 and Par51

Version: Publisher Source Data Fig. 2, DOI 10.1038/s41592-024-02487-0; retrieved 2026-09-23
Retrieved: 2026-09-23T11:23:43.985240+00:00

source checked

automated source review · 2026-09-23

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Field: links:family:catalog-model-rhofold

Claim: rhofold-2024-casp15-natural-method-rhofold-plus-catalog-model-rhofold-identity-claim

Source artifact SHA-256: 9d87837d6e72c8dafd265b9427c1cddd0223b3073eea26bcb4c6a90085a1bb04

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Release 2026-09-23-2b89723c6dd9 · Record review: source checked

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Stable ID: rhofold-2024-casp15-natural-method-rhofold-plus

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rna-transcriptomics
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fig2hi!A11; Figure 2h; primary XML Par13–15 and Par51
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