rewirebio.iobenchmarks
Model

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.

8 evaluations · 8 results

Overview

An explanatory profile has not yet been reviewed for this record.

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
Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: Optimus 100Protocol: 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 checked
Methods, coverage and source

Optimus 100 Human 25-100nt

Not 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 50Protocol: 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 checked
Methods, coverage and source

Optimus 50 Human 25-100nt

Not 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 100Protocol: 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 checked
Methods, coverage and source

Optimus 100 Human 50nt

Not 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 50Protocol: 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 checked
Methods, coverage and source

Optimus 50 Human 50nt

Not 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 100Protocol: 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 checked
Methods, coverage and source

Optimus 100 Random 25-100nt

Not 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 50Protocol: 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 checked
Methods, coverage and source

Optimus 50 Random 25-100nt

Not 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 100Protocol: 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 checked
Methods, coverage and source

Optimus 100 Random 50nt

Not 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 50Protocol: 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 checked
Methods, coverage and source

Optimus 50 Random 50nt

Not 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.

Use this model

How it works, versions and access

Versions and evaluated configurations

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.

1 evidence row matching the loaded filters

Claims, original sources and review scope · Release 2026-11-02-a7f03c9e55a5
Property and statementOriginal source and locationReview 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

Original source ↗

uc20260930-source-framepool-2021: Abstract; Introduction paragraphs 5-7

Version: 2021 journal article XML; PMC8136849.1
Retrieved: 2026-09-30

source checked

["automated-source-review","ai-assisted-source-review"] · 2026-10-10

Audit details

Description 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: description

Claim: metadata-correction-01bf5de6ca7da933d8a8

Source artifact SHA-256: 689af3ecab7b5a928eacc5a76d965960708cbb253fc7cdeae463b16d30ffd2e3

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

Inspected artifact

Sources and history

Release 2026-11-02-a7f03c9e55a5 · Record review: source checked

2 source records and release historyDownload this release (gzip)
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

Suggest a correction