Evidence map›Paper›PMID 30240424›Full record

ArticlePloS one2018

Metabolic network reconstruction and phenome analysis of the industrial microbe, Escherichia coli BL21(DE3).

Hanseol Kim, Sinyeon Kim, Sung Ho Yoon

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Coordinating Calvin Cycle and Glycolysis inACS synthetic biology · 2026
    Article
  4. Article
  5. Science advances · 2024
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  6. Article
  7. Article
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  13. Crystallographic analysis ofThe Journal of biological chemistry · 2020
    Article
  14. Article
  15. Article
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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

3 authors.

Hanseol KimDepartment of Bioscience and Biotechnology, Konkuk University, Seoul, Republic of Korea.ORCID 0000-0002-0201-329X
Sinyeon KimDepartment of Bioscience and Biotechnology, Konkuk University, Seoul, Republic of Korea.
Sung Ho YoonDepartment of Bioscience and Biotechnology, Konkuk University, Seoul, Republic of Korea.ORCID 0000-0003-0171-944X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Escherichia coli BL21(DE3) is an industrial model microbe for the mass-production of bioproducts such as biofuels, biorefineries, and recombinant proteins. However, despite its important role in scientific research and biotechnological applications, a high-quality metabolic network model for metabolic engineering is yet to be developed. Here, we present the comprehensive metabolic network model of E. coli BL21(DE3), named iHK1487, based on the latest genome reannotation and phenome analysis. The metabolic model consists of 1,164 unique metabolites, 2,701 metabolic reactions, and 1,487 genes. The model was validated and improved by comparing the simulation results with phenome data from phenotype microarray tests. Previous transcriptome profile data was incorporated during model reconstruction, and flux prediction was simulated using the model. iHK1487 was simulated to explore the metabolic features of BL21(DE3) such as broad spectrum amino acid utilization and enhanced flux through the upper glycolytic pathway and TCA cycle. iHK1487 will contribute to systematic understanding of cellular physiology and metabolism of E. coli BL21(DE3) and highlight its biotechnological applications.

Indexed as

IndustryMetabolic Networks and PathwaysPhenotypeEscherichia coliModels, BiologicalSpecies SpecificityTranscriptome

Identifiers

PMID30240424
PMCPMC6150544

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.