Strengths and considerations
No source-reviewed explanatory claims are recorded here yet.
model · method
structure-informed pLM
structure-informed pLM is the method recorded for protein variant-effect classification. This page preserves the configuration reported by Structure-Informed Protein Language Models are Robust Predictors for Variant Effects.
At a glance
Explanatory profile: limited source coverage · Automated source review, 2026-09-16. This does not change the review status of its results.
| Property | Description and evidence |
|---|---|
| Recorded dataset | variant-effects benchmarkStructure-Informed Protein Language Models are Robust Predictors for Variant Effects · PMC12068927 HTML, Table4, AA+SS+RSA+CM row, AUROC column |
| Recorded split | paper evaluationStructure-Informed Protein Language Models are Robust Predictors for Variant Effects · PMC12068927 HTML, Table4, AA+SS+RSA+CM row, AUROC column |
| Recorded configuration | not stated in tableStructure-Informed Protein Language Models are Robust Predictors for Variant Effects · PMC12068927 HTML, Table4, AA+SS+RSA+CM row, AUROC column |
| Model type | Not extracted or verified for this record. |
| Training data | Not extracted or verified for this record. |
| Context limits | Not extracted or verified for this record. |
| Access | Not extracted or verified for this record. |
| Code licence | Not extracted or verified for this record. |
| Weights licence | Not extracted or verified for this record. |
How it works
Recorded evaluation
The imported evaluation describes this procedure: combined amino-acid, secondary structure, solvent accessibility and contact-map scoring
Structure-Informed Protein Language Models are Robust Predictors for Variant Effects · PMC12068927 HTML, Table4, AA+SS+RSA+CM row, AUROC columnBenchmarks and results
Release 2026-09-16-d74d282221a9 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| structure-informed pLM: protein variant-effect classification Model: structure-informed pLM · Benchmark: protein variant-effect classification · Dataset: variant-effects benchmark combined amino-acid, secondary structure, solvent accessibility and contact-map scoring Author-reported evaluation · Evaluation metadata: needs review | ||
| .803 AUROC Unit: fraction · Direction: unknown | Uncertainty: not reported in legacy extract Scored: Not reported · Eligible: Not reported | source checkedStructure-Informed Protein Language Models are Robust Predictors for Variant Effects · PMC12068927 HTML, Table4, AA+SS+RSA+CM row, AUROC column Source checking is not independent reproduction. |
Strengths and limitations
Limitations and conditions
- This is an evidence-limited profile. The recorded evaluation context does not establish performance on other datasets or configurations.Structure-Informed Protein Language Models are Robust Predictors for Variant Effects · PMC12068927 HTML, Table4, AA+SS+RSA+CM row, AUROC column
Profile review details
Reviewed the existing release record, its source pointer and linked evaluation context. This is not a fresh full-text architecture review or independent reproduction; numerical review status is unchanged.
Stable record: reported-model-035a3ab36a3a6aSources and history
Release 2026-09-16-d74d282221a9 · Record review: needs review
- Structure-Informed Protein Language Models are Robust Predictors for Variant Effects · Original source · Human Genetics 2025 journal article (online 2024)
Technical metadata and extraction receipts
Stable ID: reported-model-035a3ab36a3a6a
- areas
- proteins-complexes
- entity level
- method
- version
- not stated in table
- reported name
- structure-informed pLM
- missing metadata
- checkpoint revision: not_reported_in_legacy_extract; training data: not_reported_in_legacy_extract; licence: not_reported_in_legacy_extract