Evidence map›Paper›PMID 35208211›Full record

ArticleMetabolites2022

Genome-Scale Metabolic Modelling Approach to Understand the Metabolism of the Opportunistic Human Pathogen

Teresa Díaz Calvo, Noemi Tejera, Iain McNamara, Gemma C Langridge, John Wain, Mark Poolman, Dipali Singh

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Pentadecanoic Acid-Releasing PDMS: Towards a New Material to PreventInternational journal of molecular sciences · 2024
    Article
  7. Reconstruction and Analysis of a Genome-Scale Metabolic Model ofInternational journal of molecular sciences · 2024
    Article
  8. Article
  9. Genome-scale metabolic modeling andFrontiers in cellular and infection microbiology · 2023
    Article
  10. Frontiers in cellular and infection microbiology · 2023
    Article
  11. Metabolites · 2022
    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

7 authors at 3 institutions in 1 country.

Teresa Díaz CalvoQuadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UQ, UK.
Noemi TejeraMicrobes in the Food Chain, Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UQ, UK.ORCID 0000-0001-8100-6022
Iain McNamaraNorwich Medical School, University of East Anglia, Norwich NR4 7UQ, UK.
Gemma C LangridgeMicrobes in the Food Chain, Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UQ, UK.ORCID 0000-0001-8037-2741
John WainMicrobes in the Food Chain, Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UQ, UK.
Mark PoolmanCell System Modelling Group, Oxford Brookes University, Oxford OX3 OBP, UK.ORCID 0000-0002-3972-5418
Dipali SinghMicrobes in the Food Chain, Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UQ, UK.ORCID 0000-0002-5238-6561
Norwich Research Park · GBUniversity of East Anglia · GBOxford Brookes University · GB

Funding

Biotechnology and Biological Sciences Research Council BB/R012504/1Norfolk and Norwich University Hospital 42933000H
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

amino acidsauxotrophygenome-scale metabolic modellinear programmingmetabolic networkmetabolismnon-aureusStaphylococcus epidermidis

Identifiers

PMID35208211
PMCPMC8874387
OpenAlexW4213077679

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.