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result · source checked

0.91 Promoter-class F1

Eco70PromBERT · Promoter-class F1 · Independent E. coli sigma70 test dataset

Tested model
Eco70PromBERT
Task or benchmark
E. coli sigma70 promoter prediction
Dataset
Independent E. coli sigma70 test dataset
Procedure
BERT-base with 1bp tokenizer; 110 promoters and 108 non-promoters.
Evaluation
Eco70PromBERT: E. coli sigma70 promoter prediction
Evidence
Author-reported evaluation · source checkedTSSNote-CyaPromBERT: Development of an integrated platform for highly accurate promoter prediction and visualization of Synechococcus sp. and Synechocystis sp. through a state-of-the-art natural language processing model BERT · TABLE 3, Eco70PromBERT (BERT-base + 1bp tokenizer) row, F1 score Promoter column

A source-checked result verifies the numerical transcription, not every model or protocol detail. Evaluation metadata: needs review. Source checked does not mean independently reproduced.

Evaluation results

Release 2026-09-16-d74d282221a9 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.

Results grouped by the exact reported evaluation
Metric and findingCoverage and uncertaintyEvidence
Eco70PromBERT: E. coli sigma70 promoter prediction

BERT-base with 1bp tokenizer; 110 promoters and 108 non-promoters.

Author-reported evaluation · Evaluation metadata: needs review

0.91 Promoter-class F1

Unit: unitless · Direction: unknown

Uncertainty: not reported in legacy extract

Scored: Not reported · Eligible: Not reported

source checkedTSSNote-CyaPromBERT: Development of an integrated platform for highly accurate promoter prediction and visualization of Synechococcus sp. and Synechocystis sp. through a state-of-the-art natural language processing model BERT · TABLE 3, Eco70PromBERT (BERT-base + 1bp tokenizer) row, F1 score Promoter column

Source checking is not independent reproduction.

Sources and history

Release 2026-09-16-d74d282221a9 · Record review: source checked

Download this release
Technical metadata and extraction receipts

Stable ID: lit-035

areas
microbes-communities
tasks
E. coli sigma70 promoter prediction
printed value
0.91
numeric value
0.91
metric
Promoter-class F1
metric direction
unknown
unit
unitless
uncertainty
Not reported
source locator
TABLE 3, Eco70PromBERT (BERT-base + 1bp tokenizer) row, F1 score Promoter column
review
method: independent_ai_table_review; reviewer: Codex omics research agent; independent source-table review, not human review; reviewed at: 2026-09-16T10:41:16.544033+00:00; notes: F1 score is the third two-column group; selected Promoter subcolumn, not AUROC or precision. This verifies the central score at its source location, not every metadata field or an experimental reproduction.; evidence: {"table_xml_id": "T3", "row_cells": ["Eco70PromBERT (BERT-base + 1bp tokenizer)", "0.92", "0.90", "0.91", "0.91", "0.91", "0.91", "110", "108"], "selected_cell_zero_based": 5, "selected_cell_xml": "<td align=\"left\" rowspan=\"1\" colspan=\"1\">0.91</td>", "caption": "Performance of Eco70PromBERT and popular promoter prediction models for E.coli using an independent dataset (σ70 promoters and non-promoters)."}; artifact sha256: 74278ccd77b2bc00a3f4434546545e8bdec8b0652a0e5d1862ec0f91decccd8d; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC9745317/fullTextXML
legacy id
lit-035
legacy row
id: lit-035; paper id: cyaprombert-2022; domain id: microbes-communities; task: E. coli sigma70 promoter prediction; model: Eco70PromBERT; model version: Not reported; dataset: Independent E. coli sigma70 test dataset; dataset version: Not reported; split: independent test; metric: Promoter-class F1; value: 0.91; unit: unitless; uncertainty: Not reported; protocol: BERT-base with 1bp tokenizer; 110 promoters and 108 non-promoters.; source locator: TABLE 3, Eco70PromBERT (BERT-base + 1bp tokenizer) row, F1 score Promoter column; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC9745317/; evaluation origin: author_reported; reviewed utc: 2026-09-15T23:25:00Z
missing metadata
model version: not_reported_in_legacy_extract; dataset version: not_reported_in_legacy_extract; uncertainty: not_reported_in_legacy_extract
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