rewirebio.iobenchmarks
Evidence claim

Relevance of DeepProtein Stability (rho) to "Assess methods for protein stability experiments"

Use case
Assess methods for protein stability experiments
Assessed by
DeepProtein Stability (TAPE): ρ ↑
Relevance
Proxy evidence
Endpoint
Rank correlation between predicted and measured stability on the TAPE stability test split (53571/2512/12851 train/valid/test), mean over five seeds

Correlation of predicted with measured stability on the TAPE stability split, for protein language models and conventional sequence and graph baselines.

17 reviewed evaluations

Evidence

Source checking verifies the cited claim or transcription. It does not establish independent reproduction.

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.

14 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-22-1b7cf027e4f6
Property and statementOriginal source and locationReview and provenance
Citation locations
1 values
  • source id
    lit-protein-20261011-deepprotein-source-shen2025
    locator
    Table 2, column group 'Stability', column 'rho'
Context-only references
DeepProtein: deep learning library and benchmark for protein sequence learning

Original source ↗

Table 2, column group 'Stability', column 'rho'

Version: Version of record, Bioinformatics 2025 (PMC12553333 JATS full text)
Retrieved: 2026-10-11T21:30:00Z

not individually reviewed

No individual claim review recorded

Source has a recorded evidence concern. Consult its source page before using the claim.

Audit details

Field: attributes.citation_locators

Source artifact SHA-256: b586921363170806d9f332afb37762ea61f464da6067a3ef0ab8853281964b7f

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

Inspected artifact

Constraints
4 values
  • Supervised split: every model is trained on the task's training set, so these values are not comparable with zero-shot stability rankings.
  • Spearman rank correlation on one supervised split; not comparable with zero-shot stability rankings or with ddG values in kcal/mol.
  • Compare only within this protocol and this split.
  • Inspect every linked evaluation's source locator before citing a result.
Context-only references
DeepProtein: deep learning library and benchmark for protein sequence learning

Original source ↗

Table 2, column group 'Stability', column 'rho'

Version: Version of record, Bioinformatics 2025 (PMC12553333 JATS full text)
Retrieved: 2026-10-11T21:30:00Z

not individually reviewed

No individual claim review recorded

Source has a recorded evidence concern. Consult its source page before using the claim.

Audit details

Field: attributes.constraints

Source artifact SHA-256: b586921363170806d9f332afb37762ea61f464da6067a3ef0ab8853281964b7f

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

Inspected artifact

Endpoint
Rank correlation between predicted and measured stability on the TAPE stability test split (53571/2512/12851 train/valid/test), mean over five seeds
Context-only references
DeepProtein: deep learning library and benchmark for protein sequence learning

Original source ↗

Table 2, column group 'Stability', column 'rho'

Version: Version of record, Bioinformatics 2025 (PMC12553333 JATS full text)
Retrieved: 2026-10-11T21:30:00Z

not individually reviewed

No individual claim review recorded

Source has a recorded evidence concern. Consult its source page before using the claim.

Audit details

Field: attributes.endpoint

Source artifact SHA-256: b586921363170806d9f332afb37762ea61f464da6067a3ef0ab8853281964b7f

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

Inspected artifact

Claimed field
links:assessed_by:lit-protein-20261011-deepprotein-protocol-stability-rho
Context-only references
DeepProtein: deep learning library and benchmark for protein sequence learning

Original source ↗

Table 2, column group 'Stability', column 'rho'

Version: Version of record, Bioinformatics 2025 (PMC12553333 JATS full text)
Retrieved: 2026-10-11T21:30:00Z

not individually reviewed

No individual claim review recorded

Source has a recorded evidence concern. Consult its source page before using the claim.

Audit details

Field: attributes.field

Source artifact SHA-256: b586921363170806d9f332afb37762ea61f464da6067a3ef0ab8853281964b7f

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

Inspected artifact

Headline metric
spearman-correlation
Context-only references
DeepProtein: deep learning library and benchmark for protein sequence learning

Original source ↗

Table 2, column group 'Stability', column 'rho'

Version: Version of record, Bioinformatics 2025 (PMC12553333 JATS full text)
Retrieved: 2026-10-11T21:30:00Z

not individually reviewed

No individual claim review recorded

Source has a recorded evidence concern. Consult its source page before using the claim.

Audit details

Field: attributes.headline_metric

Source artifact SHA-256: b586921363170806d9f332afb37762ea61f464da6067a3ef0ab8853281964b7f

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

Inspected artifact

Limitations
4 values
  • Author-reported: the DeepProtein authors ran every baseline and also introduce DeepProt-T5, which tops several tasks.
  • Graphormer ran out of memory on this task, so its cell is recorded with a missing value reason rather than a score.
  • One dataset and one split; no held-out-protein or homology-split stability evaluation.
  • The TAPE stability truth set is proteolysis-derived stability of designed mini-proteins, so it is biased towards small designed domains and away from the larger natural proteins the use case asks about.
Context-only references
DeepProtein: deep learning library and benchmark for protein sequence learning

Original source ↗

Table 2, column group 'Stability', column 'rho'

Version: Version of record, Bioinformatics 2025 (PMC12553333 JATS full text)
Retrieved: 2026-10-11T21:30:00Z

not individually reviewed

No individual claim review recorded

Source has a recorded evidence concern. Consult its source page before using the claim.

Audit details

Field: attributes.limitations

Source artifact SHA-256: b586921363170806d9f332afb37762ea61f464da6067a3ef0ab8853281964b7f

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

Inspected artifact

Rationale
Proxy, not direct: the use case needs per-method correlation and error on held-out or dissimilar proteins with a stated construct and endpoint, and this protocol gives correlation on one supervised split of designed mini-protein stability measurements. It says nothing about antisymmetry on reverse variants, about transfer to larger proteins, or about ddG in kcal/mol.
Context-only references
DeepProtein: deep learning library and benchmark for protein sequence learning

Original source ↗

Table 2, column group 'Stability', column 'rho'

Version: Version of record, Bioinformatics 2025 (PMC12553333 JATS full text)
Retrieved: 2026-10-11T21:30:00Z

not individually reviewed

No individual claim review recorded

Source has a recorded evidence concern. Consult its source page before using the claim.

Audit details

Field: attributes.rationale

Source artifact SHA-256: b586921363170806d9f332afb37762ea61f464da6067a3ef0ab8853281964b7f

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

Inspected artifact

Reason
Not shown: the source carries an evidence concern noting that Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines it as Spearman. A source with evidence concerns withholds every judgement that cites it, so this judgement and the use-case summary edit that would describe it are held until the concern is cleared.
Context-only references
DeepProtein: deep learning library and benchmark for protein sequence learning

Original source ↗

Table 2, column group 'Stability', column 'rho'

Version: Version of record, Bioinformatics 2025 (PMC12553333 JATS full text)
Retrieved: 2026-10-11T21:30:00Z

not individually reviewed

No individual claim review recorded

Source has a recorded evidence concern. Consult its source page before using the claim.

Audit details

Field: attributes.reason

Source artifact SHA-256: b586921363170806d9f332afb37762ea61f464da6067a3ef0ab8853281964b7f

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

Inspected artifact

Relevance
proxy
Context-only references
DeepProtein: deep learning library and benchmark for protein sequence learning

Original source ↗

Table 2, column group 'Stability', column 'rho'

Version: Version of record, Bioinformatics 2025 (PMC12553333 JATS full text)
Retrieved: 2026-10-11T21:30:00Z

not individually reviewed

No individual claim review recorded

Source has a recorded evidence concern. Consult its source page before using the claim.

Audit details

Field: attributes.relevance

Source artifact SHA-256: b586921363170806d9f332afb37762ea61f464da6067a3ef0ab8853281964b7f

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

Inspected artifact

Source location
Table 2, column group 'Stability', column 'rho'
Context-only references
DeepProtein: deep learning library and benchmark for protein sequence learning

Original source ↗

Table 2, column group 'Stability', column 'rho'

Version: Version of record, Bioinformatics 2025 (PMC12553333 JATS full text)
Retrieved: 2026-10-11T21:30:00Z

not individually reviewed

No individual claim review recorded

Source has a recorded evidence concern. Consult its source page before using the claim.

Audit details

Field: attributes.source_locator

Source artifact SHA-256: b586921363170806d9f332afb37762ea61f464da6067a3ef0ab8853281964b7f

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

Inspected artifact

How to read the evidence

Sources and history

Release 2026-10-22-1b7cf027e4f6 · Record review: needs review

1 source record and release historyDownload this release (gzip)
Technical metadata and extraction receipts

Stable ID: use-case-mapping-lit-protein-20261011-deepprotein-stability-rho

field
links:assessed_by:lit-protein-20261011-deepprotein-protocol-stability-rho
value
lit-protein-20261011-deepprotein-protocol-stability-rho
relevance
proxy
endpoint
Rank correlation between predicted and measured stability on the TAPE stability test split (53571/2512/12851 train/valid/test), mean over five seeds
rationale
Proxy, not direct: the use case needs per-method correlation and error on held-out or dissimilar proteins with a stated construct and endpoint, and this protocol gives correlation on one supervised split of designed mini-protein stability measurements. It says nothing about antisymmetry on reverse variants, about transfer to larger proteins, or about ddG in kcal/mol.
constraints
Supervised split: every model is trained on the task's training set, so these values are not comparable with zero-shot stability rankings.; Spearman rank correlation on one supervised split; not comparable with zero-shot stability rankings or with ddG values in kcal/mol.; Compare only within this protocol and this split.; Inspect every linked evaluation's source locator before citing a result.
limitations
Author-reported: the DeepProtein authors ran every baseline and also introduce DeepProt-T5, which tops several tasks.; Graphormer ran out of memory on this task, so its cell is recorded with a missing value reason rather than a score.; One dataset and one split; no held-out-protein or homology-split stability evaluation.; The TAPE stability truth set is proteolysis-derived stability of designed mini-proteins, so it is biased towards small designed domains and away from the larger natural proteins the use case asks about.
citation locators
source id: lit-protein-20261011-deepprotein-source-shen2025; locator: Table 2, column group 'Stability', column 'rho'
source locator
Table 2, column group 'Stability', column 'rho'
headline metric
spearman-correlation
reviewed evaluations
lit-protein-20261011-deepprotein-eval-stability-rho-attentivefp; lit-protein-20261011-deepprotein-eval-stability-rho-chemllm-7b; lit-protein-20261011-deepprotein-eval-stability-rho-cnn; lit-protein-20261011-deepprotein-eval-stability-rho-cnn-rnn; lit-protein-20261011-deepprotein-eval-stability-rho-deep-prot-t5; lit-protein-20261011-deepprotein-eval-stability-rho-esm-1b; lit-protein-20261011-deepprotein-eval-stability-rho-esm-2-650m; lit-protein-20261011-deepprotein-eval-stability-rho-gat; lit-protein-20261011-deepprotein-eval-stability-rho-gcn; lit-protein-20261011-deepprotein-eval-stability-rho-graphormer; lit-protein-20261011-deepprotein-eval-stability-rho-llasmol-mistral-7b; lit-protein-20261011-deepprotein-eval-stability-rho-mpnn; lit-protein-20261011-deepprotein-eval-stability-rho-neuralfp; lit-protein-20261011-deepprotein-eval-stability-rho-pagtn; lit-protein-20261011-deepprotein-eval-stability-rho-prot-t5-xl; lit-protein-20261011-deepprotein-eval-stability-rho-protbert; lit-protein-20261011-deepprotein-eval-stability-rho-transformer
reason
Not shown: the source carries an evidence concern noting that Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines it as Spearman. A source with evidence concerns withholds every judgement that cites it, so this judgement and the use-case summary edit that would describe it are held until the concern is cleared.
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