Evidence map›Paper›PMID 39132287›Full record

ArticleBioinformatics advances2024

ScyNet: Visualizing interactions in community metabolic models.

Michael Predl, Kilian Gandolf, Michael Hofer, Thomas Rattei

Abstract read
In one paragraph

Article in Bioinformatics advances, 2024. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  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

4 authors.

Michael PredlCentre for Microbiology and Environmental Systems Science, University of Vienna, Vienna 1030, Austria.ORCID https://orcid.org/0000-0002-3556-4661
Kilian GandolfCentre for Microbiology and Environmental Systems Science, University of Vienna, Vienna 1030, Austria.ORCID https://orcid.org/0009-0007-2825-7253
Michael HoferCentre for Microbiology and Environmental Systems Science, University of Vienna, Vienna 1030, Austria.
Thomas RatteiCentre for Microbiology and Environmental Systems Science, University of Vienna, Vienna 1030, Austria.ORCID https://orcid.org/0000-0002-0592-7791

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: Genome-scale community metabolic models are used to gain mechanistic insights into interactions between community members. However, existing tools for visualizing metabolic models only cater to the needs of single organism models. Results: ScyNet is a Cytoscape app for visualizing community metabolic models, generating networks with reduced complexity by focusing on interactions between community members. ScyNet can incorporate the state of a metabolic model via fluxes or flux ranges, which is shown in a previously published simplified cystic fibrosis airway community model. Availability and implementation: ScyNet is freely available under an MIT licence and can be retrieved via the Cytoscape App Store (apps.cytoscape.org/apps/scynet). The source code is available at Github (github.com/univieCUBE/ScyNet).

Identifiers

PMID39132287
PMCPMC11315608

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.