Strengths and considerations
No source-reviewed explanatory claims are recorded here yet.
model · method
ProteinBERT LLM-encoding model
ProteinBERT LLM-encoding model is the method recorded for mRNA-protein interaction prediction. This page preserves the configuration reported by Generalizable deep-learning-based mRNA-protein interaction prediction strongly depends on protein diversity.
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 | mRNA-RBP pairsGeneralizable deep-learning-based mRNA-protein interaction prediction strongly depends on protein diversity · Table 2, RBP-aware test set row, auROC (%) column |
| Recorded split | RBP-aware test setGeneralizable deep-learning-based mRNA-protein interaction prediction strongly depends on protein diversity · Table 2, RBP-aware test set row, auROC (%) column |
| Model type | Not extracted or verified for this record. |
| Known versions | 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: LLM encoding of protein partner; RBP-aware partition tests generalization to unseen protein diversity
Generalizable deep-learning-based mRNA-protein interaction prediction strongly depends on protein diversity · Table 2, RBP-aware test set 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 |
|---|---|---|
| ProteinBERT LLM-encoding model: mRNA-protein interaction prediction Model: ProteinBERT LLM-encoding model · Benchmark: mRNA-protein interaction prediction · Dataset: mRNA-RBP pairs LLM encoding of protein partner; RBP-aware partition tests generalization to unseen protein diversity Author-reported evaluation · Evaluation metadata: needs review | ||
| 71.5% AUROC Unit: percent · Direction: unknown | Uncertainty: not reported in legacy extract Scored: Not reported · Eligible: Not reported | source checkedGeneralizable deep-learning-based mRNA-protein interaction prediction strongly depends on protein diversity · Table 2, RBP-aware test set 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.Generalizable deep-learning-based mRNA-protein interaction prediction strongly depends on protein diversity · Table 2, RBP-aware test set 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-41ae49bb40ed8eSources and history
Release 2026-09-16-d74d282221a9 · Record review: needs review
- Generalizable deep-learning-based mRNA-protein interaction prediction strongly depends on protein diversity · Original source · version of record
Technical metadata and extraction receipts
Stable ID: reported-model-41ae49bb40ed8e
- areas
- rna-transcriptomes
- entity level
- method
- version
- Not reported
- reported name
- ProteinBERT LLM-encoding model
- missing metadata
- version: not_reported_in_legacy_extract; checkpoint revision: not_reported_in_legacy_extract; training data: not_reported_in_legacy_extract; licence: not_reported_in_legacy_extract