Evidence map›Paper›PMID 29255672›Full record

ArticleMetabolic engineering communications2018

Genome-scale model guided design of

Laura Navone, Tim McCubbin, Ricardo A Gonzalez-Garcia, Lars K Nielsen, Esteban Marcellin

Open access · goldAbstract read
In one paragraph

Article in Metabolic engineering communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

5 authors at 1 institution in 1 country.

Laura NavoneAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, Australia.
Tim McCubbinAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, Australia.
Ricardo A Gonzalez-GarciaAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, Australia.
Lars K NielsenAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, Australia.
Esteban MarcellinAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, Australia.
University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Production of propionic acid by fermentation of propionibacteria has gained increasing attention in the past few years. However, biomanufacturing of propionic acid cannot compete with the current oxo-petrochemical synthesis process due to its well-established infrastructure, low oil prices and the high downstream purification costs of microbial production. Strain improvement to increase propionic acid yield is the best alternative to reduce downstream purification costs. The recent generation of genome-scale models for a number of

Indexed as

Genome-scale modellingMetabolic engineeringPentose phosphate pathwayPhosphoenolpyruvate carboxykinase overexpressionPropionibacteriaPropionic acid

Identifiers

PMID29255672
PMCPMC5725212
OpenAlexW2770044636

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.