Evidence map›Paper›PMID 30131869›Full record

ArticleNPJ systems biology and applications2018

Flux-dependent graphs for metabolic networks.

Mariano Beguerisse-Díaz, Gabriel Bosque, Diego Oyarzún, Jesús Picó, Mauricio Barahona

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  16. Journal of biosciences · 2022
    Review
  17. Controlling network ensembles.Nature communications · 2021
    Article
  18. 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

5 authors.

Mariano Beguerisse-Díaz1Department of Mathematics, Imperial College London, London, SW7 2AZ UK.ORCID 0000-0002-8750-8346
Gabriel Bosque3Institut Universitari d'Automàtica i Informàtica Industrial, Universitat Politècnica de València, Camí de Vera s/n, 46022 Valencia, Spain.
Diego Oyarzún1Department of Mathematics, Imperial College London, London, SW7 2AZ UK.
Jesús Picó3Institut Universitari d'Automàtica i Informàtica Industrial, Universitat Politècnica de València, Camí de Vera s/n, 46022 Valencia, Spain.
Mauricio Barahona1Department of Mathematics, Imperial College London, London, SW7 2AZ UK.ORCID 0000-0002-1089-5675

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cells adapt their metabolic fluxes in response to changes in the environment. We present a framework for the systematic construction of flux-based graphs derived from organism-wide metabolic networks. Our graphs encode the directionality of metabolic flows via edges that represent the flow of metabolites from source to target reactions. The methodology can be applied in the absence of a specific biological context by modelling fluxes probabilistically, or can be tailored to different environmental conditions by incorporating flux distributions computed through constraint-based approaches such as Flux Balance Analysis. We illustrate our approach on the central carbon metabolism of

Identifiers

PMID30131869
PMCPMC6092364

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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.