Optimus 5-Prime
Convolutional neural network that predicts mean ribosome load from 5' UTR sequence, trained on massively parallel reporter assays of random 5' UTRs and limited by position-specific weights to the lengths seen in training.
Overview
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Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.
Evaluations and results
8 evaluations · 8 results. Different protocols are not a single leaderboard.
Sorted by Pearson (higher is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.
All 8 result rows with coverage, uncertainty and sources
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Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: Optimus 100 | Protocol: FramePool study MRL: Human 25-100nt Dataset subset: Sample MPRA Human 25-100nt | 0.882 Pearson unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNot reported Aggregation: Not reported FramePool 2021 primary article; FramePool Supplementary Table S1 · S1 Table cell D5; row Human 25-100nt, column Optimus 100; main text Evaluating frame pooling on MPRA data identifies Pearson correlation |
| Configuration: Optimus 50 | Protocol: FramePool study MRL: Human 25-100nt Dataset subset: Sample MPRA Human 25-100nt | 0.7 Pearson unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNot reported Aggregation: Not reported FramePool 2021 primary article; FramePool Supplementary Table S1 · S1 Table cell B5; row Human 25-100nt, column Optimus 50; main text Evaluating frame pooling on MPRA data identifies Pearson correlation |
| Configuration: Optimus 100 | Protocol: FramePool study MRL: Human 50nt Dataset subset: Sample MPRA Human 50nt | 0.852 Pearson unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNot reported Aggregation: Not reported FramePool 2021 primary article; FramePool Supplementary Table S1 · S1 Table cell D4; row Human 50nt, column Optimus 100; main text Evaluating frame pooling on MPRA data identifies Pearson correlation |
| Configuration: Optimus 50 | Protocol: FramePool study MRL: Human 50nt Dataset subset: Sample MPRA Human 50nt | 0.889 Pearson unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNot reported Aggregation: Not reported FramePool 2021 primary article; FramePool Supplementary Table S1 · S1 Table cell B4; row Human 50nt, column Optimus 50; main text Evaluating frame pooling on MPRA data identifies Pearson correlation |
| Configuration: Optimus 100 | Protocol: FramePool study MRL: Random 25-100nt Dataset subset: Sample MPRA Random 25-100nt | 0.915 Pearson unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNot reported Aggregation: Not reported FramePool 2021 primary article; FramePool Supplementary Table S1 · S1 Table cell D3; row Random 25-100nt, column Optimus 100; main text Evaluating frame pooling on MPRA data identifies Pearson correlation |
| Configuration: Optimus 50 | Protocol: FramePool study MRL: Random 25-100nt Dataset subset: Sample MPRA Random 25-100nt | 0.743 Pearson unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNot reported Aggregation: Not reported FramePool 2021 primary article; FramePool Supplementary Table S1 · S1 Table cell B3; row Random 25-100nt, column Optimus 50; main text Evaluating frame pooling on MPRA data identifies Pearson correlation |
| Configuration: Optimus 100 | Protocol: FramePool study MRL: Random 50nt Dataset subset: Sample MPRA Random 50nt | 0.938 Pearson unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNot reported Aggregation: Not reported FramePool 2021 primary article; FramePool Supplementary Table S1 · S1 Table cell D2; row Random 50nt, column Optimus 100; main text Evaluating frame pooling on MPRA data identifies Pearson correlation |
| Configuration: Optimus 50 | Protocol: FramePool study MRL: Random 50nt Dataset subset: Sample MPRA Random 50nt | 0.966 Pearson unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNot reported Aggregation: Not reported FramePool 2021 primary article; FramePool Supplementary Table S1 · S1 Table cell B2; row Random 50nt, column Optimus 50; main text Evaluating frame pooling on MPRA data identifies Pearson correlation |
Source checking is not independent reproduction. Release 2026-11-02-a7f03c9e55a5.
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How it works, versions and access
Versions and evaluated configurations
- Optimus 100 · configuration of
- Optimus 50 · configuration of
Evidence
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Evidence table
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1 evidence row matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Description Convolutional neural network that predicts mean ribosome load from 5' UTR sequence, trained on massively parallel reporter assays of random 5' UTRs and limited by position-specific weights to the lengths seen in training. Individual claims | FramePool 2021 primary article uc20260930-source-framepool-2021: Abstract; Introduction paragraphs 5-7 Version: 2021 journal article XML; PMC8136849.1 | source checked ["automated-source-review","ai-assisted-source-review"] · 2026-10-10 Audit detailsDescription written from the cited source text; provenance text was generic and is kept here as previous_value. Independent review 2026-10-10: every stated fact is supported by the cited text. Field: Claim: metadata-correction-01bf5de6ca7da933d8a8 Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
Sources and history
Release 2026-11-02-a7f03c9e55a5 · Record review: source checked
2 source records and release history
- FramePool 2021 primary article · Original source · 2021 journal article XML; PMC8136849.1
- FramePool Supplementary Table S1 · Original source · 2021 published S1 XLSX
Technical metadata and extraction receipts
Stable ID: uc20260930-model-optimus-5-prime
- areas
- rna-transcriptomes
- source locator
- S1/S4 Table; Methods Framepool model and Model training; S7–S8 figure captions
- review
- method: automated-source-review; reviewer: codex; reviewed at: 2026-09-30T21:40:59.576893+00:00; scope: Primary-source transcription and catalogue applicability audit; not human scientific review or independent experimental reproduction.; reviewer note: role: experimental use-case curation
- entity level
- family
- identity scope
- Family/method identity only; no undocumented checkpoint equivalence.
Related records
- subject: Optimus 5-Prime: description
- configuration of: Optimus 100
- configuration of: Optimus 50