Model

FramePool

Neural network with frame pooling that predicts mean ribosome load, a proxy for translation efficiency, from 5' UTR sequences of any length.

12 evaluations · 12 results

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

12 evaluations · 12 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.

Tested configuration	Protocol and dataset	Pearson
FramePool 50Evaluation	FramePool study MRL: Random 50nt, Sample MPRA Random 50nt	0.964 (best in column)
FramePool CombinedEvaluation	FramePool study MRL: Random 50nt, Sample MPRA Random 50nt	0.954
FramePool 100Evaluation	FramePool study MRL: Random 50nt, Sample MPRA Random 50nt	0.929
FramePool CombinedEvaluation	FramePool study MRL: Random 25-100nt, Sample MPRA Random 25-100nt	0.914
FramePool 100Evaluation	FramePool study MRL: Random 25-100nt, Sample MPRA Random 25-100nt	0.903
FramePool 50Evaluation	FramePool study MRL: Random 25-100nt, Sample MPRA Random 25-100nt	0.901
FramePool CombinedEvaluation	FramePool study MRL: Human 25-100nt, Sample MPRA Human 25-100nt	0.894
FramePool 100Evaluation	FramePool study MRL: Human 25-100nt, Sample MPRA Human 25-100nt	0.884
FramePool 50Evaluation	FramePool study MRL: Human 50nt, Sample MPRA Human 50nt	0.882
FramePool 50Evaluation	FramePool study MRL: Human 25-100nt, Sample MPRA Human 25-100nt	0.871
FramePool CombinedEvaluation	FramePool study MRL: Human 50nt, Sample MPRA Human 50nt	0.867
FramePool 100Evaluation	FramePool study MRL: Human 50nt, Sample MPRA Human 50nt	0.839

All 12 result rows with coverage, uncertainty and sources

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Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: FramePool 100	Protocol: FramePool study MRL: Human 25-100nt Dataset subset: Sample MPRA Human 25-100nt	0.884 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 FramePool 100 Human 25-100nt Not reported Aggregation: Not reported FramePool 2021 primary article; FramePool Supplementary Table S1 · S1 Table cell E5; row Human 25-100nt, column FramePool 100; main text Evaluating frame pooling on MPRA data identifies Pearson correlation
Configuration: FramePool 50	Protocol: FramePool study MRL: Human 25-100nt Dataset subset: Sample MPRA Human 25-100nt	0.871 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 FramePool 50 Human 25-100nt Not reported Aggregation: Not reported FramePool 2021 primary article; FramePool Supplementary Table S1 · S1 Table cell C5; row Human 25-100nt, column FramePool 50; main text Evaluating frame pooling on MPRA data identifies Pearson correlation
Configuration: FramePool Combined	Protocol: FramePool study MRL: Human 25-100nt Dataset subset: Sample MPRA Human 25-100nt	0.894 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 FramePool Combined Human 25-100nt Not reported Aggregation: Not reported FramePool 2021 primary article; FramePool Supplementary Table S1 · S1 Table cell F5; row Human 25-100nt, column FramePool Combined; main text Evaluating frame pooling on MPRA data identifies Pearson correlation
Configuration: FramePool 100	Protocol: FramePool study MRL: Human 50nt Dataset subset: Sample MPRA Human 50nt	0.839 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 FramePool 100 Human 50nt Not reported Aggregation: Not reported FramePool 2021 primary article; FramePool Supplementary Table S1 · S1 Table cell E4; row Human 50nt, column FramePool 100; main text Evaluating frame pooling on MPRA data identifies Pearson correlation
Configuration: FramePool 50	Protocol: FramePool study MRL: Human 50nt Dataset subset: Sample MPRA Human 50nt	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 FramePool 50 Human 50nt Not reported Aggregation: Not reported FramePool 2021 primary article; FramePool Supplementary Table S1 · S1 Table cell C4; row Human 50nt, column FramePool 50; main text Evaluating frame pooling on MPRA data identifies Pearson correlation
Configuration: FramePool Combined	Protocol: FramePool study MRL: Human 50nt Dataset subset: Sample MPRA Human 50nt	0.867 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 FramePool Combined Human 50nt Not reported Aggregation: Not reported FramePool 2021 primary article; FramePool Supplementary Table S1 · S1 Table cell F4; row Human 50nt, column FramePool Combined; main text Evaluating frame pooling on MPRA data identifies Pearson correlation
Configuration: FramePool 100	Protocol: FramePool study MRL: Random 25-100nt Dataset subset: Sample MPRA Random 25-100nt	0.903 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 FramePool 100 Random 25-100nt Not reported Aggregation: Not reported FramePool 2021 primary article; FramePool Supplementary Table S1 · S1 Table cell E3; row Random 25-100nt, column FramePool 100; main text Evaluating frame pooling on MPRA data identifies Pearson correlation
Configuration: FramePool 50	Protocol: FramePool study MRL: Random 25-100nt Dataset subset: Sample MPRA Random 25-100nt	0.901 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 FramePool 50 Random 25-100nt Not reported Aggregation: Not reported FramePool 2021 primary article; FramePool Supplementary Table S1 · S1 Table cell C3; row Random 25-100nt, column FramePool 50; main text Evaluating frame pooling on MPRA data identifies Pearson correlation
Configuration: FramePool Combined	Protocol: FramePool study MRL: Random 25-100nt Dataset subset: Sample MPRA Random 25-100nt	0.914 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 FramePool Combined Random 25-100nt Not reported Aggregation: Not reported FramePool 2021 primary article; FramePool Supplementary Table S1 · S1 Table cell F3; row Random 25-100nt, column FramePool Combined; main text Evaluating frame pooling on MPRA data identifies Pearson correlation
Configuration: FramePool 100	Protocol: FramePool study MRL: Random 50nt Dataset subset: Sample MPRA Random 50nt	0.929 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 FramePool 100 Random 50nt Not reported Aggregation: Not reported FramePool 2021 primary article; FramePool Supplementary Table S1 · S1 Table cell E2; row Random 50nt, column FramePool 100; main text Evaluating frame pooling on MPRA data identifies Pearson correlation
Configuration: FramePool 50	Protocol: FramePool study MRL: Random 50nt Dataset subset: Sample MPRA Random 50nt	0.964 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 FramePool 50 Random 50nt Not reported Aggregation: Not reported FramePool 2021 primary article; FramePool Supplementary Table S1 · S1 Table cell C2; row Random 50nt, column FramePool 50; main text Evaluating frame pooling on MPRA data identifies Pearson correlation
Configuration: FramePool Combined	Protocol: FramePool study MRL: Random 50nt Dataset subset: Sample MPRA Random 50nt	0.954 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 FramePool Combined Random 50nt Not reported Aggregation: Not reported FramePool 2021 primary article; FramePool Supplementary Table S1 · S1 Table cell F2; row Random 50nt, column FramePool Combined; 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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Versions and evaluated configurations

FramePool 100 · configuration of
FramePool 50 · configuration of
FramePool Combined · configuration of

Evidence

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Evidence table

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1 evidence row matching the loaded filters

Claims, original sources and review scope · Release 2026-11-02-a7f03c9e55a5
Property and statement	Original source and location	Review and provenance
Description Neural network with frame pooling that predicts mean ribosome load, a proxy for translation efficiency, from 5' UTR sequences of any length. 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: corrected. 'translation rate' changed to 'translation efficiency', the source's term. Field: `description` Claim: metadata-correction-b949cf76a35b544309d0 Source artifact SHA-256: `689af3ecab7b5a928eacc5a76d965960708cbb253fc7cdeae463b16d30ffd2e3` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact

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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

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Technical metadata and extraction receipts

Stable ID: uc20260930-model-framepool

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: FramePool: description
configuration of: FramePool 100
configuration of: FramePool 50
configuration of: FramePool Combined

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