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Task

RNA secondary structure

RNA secondary-structure evaluation includes an explicit held-out-family generalization setting.

SourcesRNA secondary structure prediction by conducting multi-class classifications · Methods: Evaluation method; Results: cross-RNA-family evaluation; cached text lines 23–25, 75–77

2 evaluations · 2 metric rows

At a glance

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.

Data, procedure and scoring
PropertyDescription and evidence
DatasetsRNA8F combines RNAStrAlign, ArchiveII, bpRNA and CRW2, retaining sequences no longer than 500 nucleotides from eight RNA families. Table 1 gives family-by-length counts for training, validation and test subsets.
SourcesRNA secondary structure prediction by conducting multi-class classifications · Materials and methods: Experimental settings; Table 1
SplitsCross-family experiments train on the other families and test the held-out family.
SourcesRNA secondary structure prediction by conducting multi-class classifications · Methods: Evaluation method; Results: cross-RNA-family evaluation; cached text lines 23–25, 75–77
MetricsF1 and interaction network fidelity, with overall averages across family evaluations.
SourcesRNA secondary structure prediction by conducting multi-class classifications · Methods: Evaluation method; Results: cross-RNA-family evaluation; cached text lines 23–25, 75–77
BaselinesCONTRAfold, RNAstructure, LinearFold and MXfold2; TU-Fold is also compared with its knowledge-merge variant.
SourcesRNA secondary structure prediction by conducting multi-class classifications · Methods: Evaluation method; Results: cross-RNA-family evaluation; cached text lines 23–25, 75–77
Leakage controlsFamily holdout is separated from ordinary sequence-level evaluation.
SourcesRNA secondary structure prediction by conducting multi-class classifications · Methods: Evaluation method; Results: cross-RNA-family evaluation; cached text lines 23–25, 75–77
UncertaintyThe sequence-length-stratified tables report means and standard deviations over three folds. This does not establish a separate interval for every cross-family experiment.
SourcesRNA secondary structure prediction by conducting multi-class classifications · Methods: Evaluation method; Results: cross-RNA-family evaluation; cached text lines 23–25, 75–77
Entity typePaper-specific computational evaluation protocol.
SourcesRNA secondary structure prediction by conducting multi-class classifications · Methods: Evaluation method; Results: cross-RNA-family evaluation; cached text lines 23–25, 75–77
OrganismsRNA8F combines RNAStrAlign, ArchiveII, bpRNA and CRW2 into eight RNA families. Table 1 stratifies by family and sequence length; the paper does not provide the organism distribution of the processed train/validation/test subsets. Family names are not organism labels. · Not reported in inspected sources
SourcesRNA secondary structure prediction by conducting multi-class classifications · Materials and methods: Experimental settings; Table 1
AssaysRNA secondary-structure annotations.
SourcesRNA secondary structure prediction by conducting multi-class classifications · Methods: Evaluation method; Results: cross-RNA-family evaluation; cached text lines 23–25, 75–77
Allowed inputsRNA sequence.
SourcesRNA secondary structure prediction by conducting multi-class classifications · Methods: Evaluation method; Results: cross-RNA-family evaluation; cached text lines 23–25, 75–77
AdaptationSupervised structure learning; cross-family runs train on other families and hold one family out.
SourcesRNA secondary structure prediction by conducting multi-class classifications · Methods: Evaluation method; Results: cross-RNA-family evaluation; cached text lines 23–25, 75–77

How it works

How it worksComputational evaluation flow
Computational evaluation flow1. Input: RNA sequence.. Then: 2. Evaluation: Cross-family experiments train on the other families and test the held-out family.. Then: 3. Readout: F1 and interaction network fidelity, with overall averages across family evaluations.Computational evaluation flow1. Input: RNA sequence.. Then: 2. Evaluation: Cross-family experiments train on the other families and test the held-out family.. Then: 3. Readout: F1 and interaction network fidelity, with overall averages across family evaluations.Computational evaluation flow1. Input: RNA sequence.. Then: 2. Evaluation: Cross-family experiments train on the other families and test the held-out family.. Then: 3. Readout: F1 and interaction network fidelity, with overall averages across family evaluations.

Conceptual summary of the cited evaluation; exact task configuration and source version remain part of the protocol.

SourcesRNA secondary structure prediction by conducting multi-class classifications · Methods: Evaluation method; Results: cross-RNA-family evaluation; cached text lines 23–25, 75–77
Evaluation methodology

RNA8F combines RNAStrAlign, ArchiveII, bpRNA and CRW2, retaining sequences no longer than 500 nucleotides from eight RNA families. Table 1 gives family-by-length counts for training, validation and test subsets. Cross-family experiments train on the other families and test the held-out family. F1 and interaction network fidelity, with overall averages across family evaluations. CONTRAfold, RNAstructure, LinearFold and MXfold2; TU-Fold is also compared with its knowledge-merge variant. Family holdout is separated from ordinary sequence-level evaluation.

SourcesRNA secondary structure prediction by conducting multi-class classifications · Materials and methods: Experimental settings; Table 1; Methods: Evaluation method; Results: cross-RNA-family evaluation; cached text lines 23–25, 75–77

Recorded evaluations

Each evaluation records what was tested and under which conditions.

Tested entities and results

Release 2026-09-17-d277315f7d76 · 2 evaluations · 2 metric rows. Different protocols are not a single leaderboard.

Results grouped by the exact reported evaluation
Metric and findingCoverage and uncertaintyEvidence
TU-Fold (aug): RNA secondary structure

Three-fold training and evaluation; source reports mean and standard deviation.

Author-reported evaluation · Evaluation metadata: needs review

0.947 F1

Unit: unitless · Direction: unknown

Uncertainty: ± 0.002 standard deviation

Scored: Not reported · Eligible: Not reported

source checkedRNA secondary structure prediction by conducting multi-class classifications · Table 2, TU-Fold (aug) row, Overall F1 column

Source checking is not independent reproduction.

UFold: RNA secondary structure

Three-fold training and evaluation; source reports mean and standard deviation.

Independent external evaluation · Evaluation metadata: needs review

0.938 F1

Unit: unitless · Direction: unknown

Uncertainty: ± 0.004 standard deviation

Scored: Not reported · Eligible: Not reported

source checkedRNA secondary structure prediction by conducting multi-class classifications · Table 2, UFold row, Overall F1 column

Source checking is not independent reproduction.

Papers and result coverage

Last literature check: 2026-09-17. Primary-source discovery and table/protocol screening; source checked is not independently reproduced. Raw acquisitions not automatically numerical publication approval.

Paper or primary resourceVersionReference
RNA secondary structure prediction by conducting multi-class classificationsversion of recordRead source
DOI: 10.1016/j.csbj.2025.04.001

What is still missing

  • Complete raw comparison acquired,11 methods across overall and two length bands; means/SD preserved. F1/INF and precision/recall separate columns; no aggregate across different length cohorts. Structured extraction pending.
Search and extraction details

source found structured extraction pending

Searches

  • RNA secondary structure prediction by conducting multi-class classifications primary paper benchmark results

Evidence locations

  • Tables2–3; three-fold dataset evaluation and length strata

Strengths and limitations

Strengths and considerations

No source-reviewed explanatory claims are recorded here yet.

Profile review details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Stable record: reported-task-5ec7581b246ea6

Evidence table

Inspect claims, sources and review details

Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.

One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.

17 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-17-d277315f7d76
Property and statementOriginal source and locationReview and provenance
Diagram caption

Conceptual summary of the cited evaluation; exact task configuration and source version remain part of the protocol.

Individual claims
RNA secondary structure prediction by conducting multi-class classifications

Original source ↗

Methods: Evaluation method; Results: cross-RNA-family evaluation; cached text lines 23–25, 75–77

Version: version of record
Retrieved: 2026-09-16T10:41:16.505799+00:00

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.diagram.caption

Source artifact SHA-256: 5aa376d6466daee83fc307baa39fd48da0f185ff30a178624025032d4cbe597d

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Diagram steps

["Input: RNA sequence.","Evaluation: Cross-family experiments train on the other families and test the held-out family.","Readout: F1 and interaction network fidelity, with overall averages across family evaluations."]

Individual claims
RNA secondary structure prediction by conducting multi-class classifications

Original source ↗

Methods: Evaluation method; Results: cross-RNA-family evaluation; cached text lines 23–25, 75–77

Version: version of record
Retrieved: 2026-09-16T10:41:16.505799+00:00

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.diagram.steps

Source artifact SHA-256: 5aa376d6466daee83fc307baa39fd48da0f185ff30a178624025032d4cbe597d

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Diagram title

Computational evaluation flow

Individual claims
RNA secondary structure prediction by conducting multi-class classifications

Original source ↗

Methods: Evaluation method; Results: cross-RNA-family evaluation; cached text lines 23–25, 75–77

Version: version of record
Retrieved: 2026-09-16T10:41:16.505799+00:00

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.diagram.title

Source artifact SHA-256: 5aa376d6466daee83fc307baa39fd48da0f185ff30a178624025032d4cbe597d

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Datasets

RNA8F combines RNAStrAlign, ArchiveII, bpRNA and CRW2, retaining sequences no longer than 500 nucleotides from eight RNA families. Table 1 gives family-by-length counts for training, validation and test subsets.

Individual claims
RNA secondary structure prediction by conducting multi-class classifications

Original source ↗

Materials and methods: Experimental settings; Table 1

Version: version of record
Retrieved: 2026-09-16T10:41:16.505799+00:00

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.facts.0.value

Source artifact SHA-256: 5aa376d6466daee83fc307baa39fd48da0f185ff30a178624025032d4cbe597d

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Splits

Cross-family experiments train on the other families and test the held-out family.

Individual claims
RNA secondary structure prediction by conducting multi-class classifications

Original source ↗

Methods: Evaluation method; Results: cross-RNA-family evaluation; cached text lines 23–25, 75–77

Version: version of record
Retrieved: 2026-09-16T10:41:16.505799+00:00

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.facts.1.value

Source artifact SHA-256: 5aa376d6466daee83fc307baa39fd48da0f185ff30a178624025032d4cbe597d

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Adaptation

Supervised structure learning; cross-family runs train on other families and hold one family out.

Individual claims
RNA secondary structure prediction by conducting multi-class classifications

Original source ↗

Methods: Evaluation method; Results: cross-RNA-family evaluation; cached text lines 23–25, 75–77

Version: version of record
Retrieved: 2026-09-16T10:41:16.505799+00:00

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.facts.10.value

Source artifact SHA-256: 5aa376d6466daee83fc307baa39fd48da0f185ff30a178624025032d4cbe597d

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Metrics

F1 and interaction network fidelity, with overall averages across family evaluations.

Individual claims
RNA secondary structure prediction by conducting multi-class classifications

Original source ↗

Methods: Evaluation method; Results: cross-RNA-family evaluation; cached text lines 23–25, 75–77

Version: version of record
Retrieved: 2026-09-16T10:41:16.505799+00:00

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.facts.2.value

Source artifact SHA-256: 5aa376d6466daee83fc307baa39fd48da0f185ff30a178624025032d4cbe597d

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Baselines

CONTRAfold, RNAstructure, LinearFold and MXfold2; TU-Fold is also compared with its knowledge-merge variant.

Individual claims
RNA secondary structure prediction by conducting multi-class classifications

Original source ↗

Methods: Evaluation method; Results: cross-RNA-family evaluation; cached text lines 23–25, 75–77

Version: version of record
Retrieved: 2026-09-16T10:41:16.505799+00:00

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.facts.3.value

Source artifact SHA-256: 5aa376d6466daee83fc307baa39fd48da0f185ff30a178624025032d4cbe597d

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Leakage controls

Family holdout is separated from ordinary sequence-level evaluation.

Individual claims
RNA secondary structure prediction by conducting multi-class classifications

Original source ↗

Methods: Evaluation method; Results: cross-RNA-family evaluation; cached text lines 23–25, 75–77

Version: version of record
Retrieved: 2026-09-16T10:41:16.505799+00:00

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.facts.4.value

Source artifact SHA-256: 5aa376d6466daee83fc307baa39fd48da0f185ff30a178624025032d4cbe597d

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Uncertainty

The sequence-length-stratified tables report means and standard deviations over three folds. This does not establish a separate interval for every cross-family experiment.

Individual claims
RNA secondary structure prediction by conducting multi-class classifications

Original source ↗

Methods: Evaluation method; Results: cross-RNA-family evaluation; cached text lines 23–25, 75–77

Version: version of record
Retrieved: 2026-09-16T10:41:16.505799+00:00

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.facts.5.value

Source artifact SHA-256: 5aa376d6466daee83fc307baa39fd48da0f185ff30a178624025032d4cbe597d

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Sources and history

Release 2026-09-17-d277315f7d76 · Record review: needs review

2 source records and release historyDownload this release
Technical metadata and extraction receipts

Stable ID: reported-task-5ec7581b246ea6

areas
rna-transcriptomes
tasks
RNA secondary structure
entity level
task
version
Not reported
task
RNA secondary structure
scope note
Paper-specific evaluation task; protocol completeness requires further extraction.
benchmark research
review date: 2026-09-17; status: source_found_structured_extraction_pending; primary sources: evidence-expansion-p2-tu-fold-2025-5aa376d6466d; inspected locators: Tables2–3; three-fold dataset evaluation and length strata; searched queries: RNA secondary structure prediction by conducting multi-class classifications primary paper benchmark results; gaps: Complete raw comparison acquired,11 methods across overall and two length bands; means/SD preserved. F1/INF and precision/recall separate columns; no aggregate across different length cohorts. Structured extraction pending.; claim scope: Primary-source discovery and table/protocol screening; source checked is not independently reproduced. Raw acquisitions not automatically numerical publication approval.
historical missing metadata
protocol version: not_reported_in_legacy_extract; split: not_reported_in_legacy_extract
metadata review scope
historical_missing_metadata preserves the original discovery state. Current descriptive evidence and missingness are recorded in profile.facts; numerical-result review is separate.
legacy kinds
benchmark
entity classification
review date: 2026-09-17; rationale: This source-scoped record identifies the biological prediction task and holds its paper context. Preserve the existing task identity; exact split, model adaptation and scoring remain in linked evaluations or separate protocol records.; source ids: tu-fold-2025; source locator: Methods: Evaluation method; Results: cross-RNA-family evaluation; cached text lines 23–25, 75–77; ambiguities: A paper- or suite-specific task may constrain some inputs or metrics; that alone does not make it interchangeable with a complete versioned protocol. No protocol equivalence is inferred.; Some legacy profile Entity type facts use the generic phrase computational evaluation protocol. That boilerplate is not sufficient to establish a single fixed protocol identity or to merge this task with another protocol record.
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