Evidence map›Paper›PMID 33200269›Full record

ArticleApplied biochemistry and biotechnology2021

Construction and Validation of a Genome-Scale Metabolic Network of Thermotoga sp. Strain RQ7.

Jyotshana Gautam, Zhaohui Xu

Abstract read
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In one paragraph

Article in Applied biochemistry and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
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

2 authors at 1 institution in 1 country.

Jyotshana GautamDepartment of Biological Sciences, Bowling Green State University, Bowling Green, OH, 43403, USA.
Zhaohui XuDepartment of Biological Sciences, Bowling Green State University, Bowling Green, OH, 43403, USA. zxu@bgsu.edu.ORCID http://orcid.org/0000-0002-1866-3254
Bowling Green State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thermotoga are anaerobic hyperthermophiles that have a deep lineage to the last universal ancestor and produce biological hydrogen gas accompanying cell growth. In recent years, systems-level approaches have been used to elucidate their metabolic capacities, by integrating mathematical modeling and experimental results. To assist biochemical engineering studies of T. sp. strain RQ7, this work aims at building a metabolic model of the bacterium that quantitatively simulates its metabolism at the genome scale. The constructed model, RQ7_iJG408, consists of 408 genes, 692 reactions, and 538 metabolites. Constraint-based flux balance analyses were used to simulate cell growth in both the complex and defined media. Quantitative comparison of the predicted and measured growth rates resulted in good agreements. This model serves as a foundation for an integrated biochemical description of T. sp. strain RQ7. It is a useful tool in designing growth media, identifying metabolic engineering strategies, and exploiting the physiological potentials of this biotechnologically significant organism.

Indexed as

Models, BiologicalThermotogaGenome, BacterialMetabolic EngineeringMetabolic Networks and PathwaysBiomass objective functionConstraint-based reconstruction and analysisFlux balance analysisGenome-scale metabolic modelingThermotoga

Identifiers

PMID33200269
OpenAlexW3102471698

What OpenQuestion holds

Textmetadata
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.