Evidence map›Paper›PMID 29343727›Full record

ArticleScientific reports2018

PredCRP: predicting and analysing the regulatory roles of CRP from its binding sites in Escherichia coli.

Ming-Ju Tsai, Jyun-Rong Wang, Chi-Dung Yang, Kuo-Ching Kao, Wen-Lin Huang, Hsi-Yuan Huang, Ching-Ping Tseng, Hsien-Da Huang, Shinn-Ying Ho

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 31 citations in OpenAlex.

  1. Journal of bacteriology · 2025
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  3. UNRAVELING CRP/cAMP-MEDIATED METABOLIC REGULATION INbioRxiv : the preprint server for biology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Ming-Ju TsaiInstitute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, Taiwan.
Jyun-Rong WangInstitute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, Taiwan.
Chi-Dung YangDepartment of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan.
Kuo-Ching KaoInstitute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, Taiwan.
Wen-Lin HuangDepartment and Institute of Industrial Engineering and Management, Minghsin University of Science and Technology, Hsinchu, Taiwan.
Hsi-Yuan HuangDepartment of Laboratory Medicine, China Medical University Hospital, Taichung, Taiwan.
Ching-Ping TsengDepartment of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan.
Hsien-Da HuangInstitute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, Taiwan.
Shinn-Ying HoInstitute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, Taiwan. syho@mail.nctu.edu.tw.
National Yang Ming Chiao Tung University · TWMinghsin University of Science and Technology · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cyclic AMP receptor protein (CRP), a global regulator in Escherichia coli, regulates more than 180 genes via two roles: activation and repression. Few methods are available for predicting the regulatory roles from the binding sites of transcription factors. This work proposes an accurate method PredCRP to derive an optimised model (named PredCRP-model) and a set of four interpretable rules (named PredCRP-ruleset) for predicting and analysing the regulatory roles of CRP from sequences of CRP-binding sites. A dataset consisting of 169 CRP-binding sites with regulatory roles strongly supported by evidence was compiled. The PredCRP-model, using 12 informative features of CRP-binding sites, and cooperating with a support vector machine achieved a training and test accuracy of 0.98 and 0.93, respectively. PredCRP-ruleset has two activation rules and two repression rules derived using the 12 features and the decision tree method C4.5. This work further screened and identified 23 previously unobserved regulatory interactions in Escherichia coli. Using quantitative PCR for validation, PredCRP-model and PredCRP-ruleset achieved a test accuracy of 0.96 (=22/23) and 0.91 (=21/23), respectively. The proposed method is suitable for designing predictors for regulatory roles of all global regulators in Escherichia coli. PredCRP can be accessed at https://github.com/NctuICLab/PredCRP .

Indexed as

Binding SitesCyclic AMPCyclic AMP Receptor ProteinDNA, BacterialEscherichia coliEscherichia coli ProteinsGene Expression Regulation, BacterialProtein BindingTranscription FactorsCyclic AMPCyclic AMP Receptor ProteinDNA, BacterialEscherichia coli ProteinsTranscription Factors

Identifiers

PMID29343727
PMCPMC5772556
OpenAlexW2783788260

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.