Strengths and considerations
No source-reviewed explanatory claims are recorded here yet.
model · method
mRNABERT
mRNABERT is the method recorded for translation-efficiency prediction. This page preserves the configuration reported by mRNABERT: advancing mRNA sequence design with a universal language model and comprehensive dataset.
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 | human ultra-long mRNAsmRNABERT: advancing mRNA sequence design with a universal language model and comprehensive dataset · Table 2, mRNABERT (3066) row, Human R-squared column |
| Recorded split | paper evaluationmRNABERT: advancing mRNA sequence design with a universal language model and comprehensive dataset · Table 2, mRNABERT (3066) row, Human R-squared column |
| Recorded configuration | 3066-nt inputmRNABERT: advancing mRNA sequence design with a universal language model and comprehensive dataset · Table 2, mRNABERT (3066) row, Human R-squared 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: human translation-efficiency regression at 3066-nt input
mRNABERT: advancing mRNA sequence design with a universal language model and comprehensive dataset · Table 2, mRNABERT (3066) row, Human R-squared 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 |
|---|---|---|
| mRNABERT: translation-efficiency prediction human translation-efficiency regression at 3066-nt input Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.669 R-squared Unit: unitless · Direction: unknown | Uncertainty: not reported in legacy extract Scored: Not reported · Eligible: Not reported | source checkedmRNABERT: advancing mRNA sequence design with a universal language model and comprehensive dataset · Table 2, mRNABERT (3066) row, Human R-squared 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.mRNABERT: advancing mRNA sequence design with a universal language model and comprehensive dataset · Table 2, mRNABERT (3066) row, Human R-squared 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-13bd2a6c2d8178Sources and history
Release 2026-09-16-d74d282221a9 · Record review: needs review
- mRNABERT: advancing mRNA sequence design with a universal language model and comprehensive dataset · Original source · journal full text in PMC
Technical metadata and extraction receipts
Stable ID: reported-model-13bd2a6c2d8178
- areas
- rna-transcriptomes
- entity level
- method
- version
- 3066-nt input
- reported name
- mRNABERT
- missing metadata
- checkpoint revision: not_reported_in_legacy_extract; training data: not_reported_in_legacy_extract; licence: not_reported_in_legacy_extract