Evidence map›Paper›PMID 36512705›Full record

ArticleJournal of proteome research2023

Cytoscape stringApp 2.0: Analysis and Visualization of Heterogeneous Biological Networks.

Nadezhda T Doncheva, John H Morris, Henrietta Holze, Rebecca Kirsch, Katerina C Nastou, Yesid Cuesta-Astroz, Thomas Rattei, Damian Szklarczyk, Christian von Mering, Lars J Jensen

Open access · hybridAbstract read
In one paragraph

Article in Journal of proteome research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
136citing papers in PubMed, 3 pooled it
16.8field-weighted citation impact, top 1% 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

136 citing papers in PubMed, 3 syntheses or guidelines pooled it, 204 citations in OpenAlex.

  1. Pooled it
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  19. Molecular maps of diseases from omics data and network embeddings.NPJ systems biology and applications · 2026
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  20. Article

76 more citing papers are in PubMed but not listed here.

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

10 authors at 5 institutions in 5 countries.

Nadezhda T DonchevaNovo Nordisk Foundation Center for Protein Research, University of Copenhagen, 2200 Copenhagen, Denmark.ORCID 0000-0002-8806-6850
John H MorrisResource on Biocomputing, Visualization, and Informatics, University of California, San Francisco, California 94143, United States.ORCID 0000-0003-0290-7979
Henrietta HolzeNovo Nordisk Foundation Center for Protein Research, University of Copenhagen, 2200 Copenhagen, Denmark.
Rebecca KirschNovo Nordisk Foundation Center for Protein Research, University of Copenhagen, 2200 Copenhagen, Denmark.
Katerina C NastouNovo Nordisk Foundation Center for Protein Research, University of Copenhagen, 2200 Copenhagen, Denmark.
Yesid Cuesta-AstrozInstituto Colombiano de Medicina Tropical, Universidad CES, 055413 Sabaneta, Colombia.
Thomas RatteiCentre for Microbiology and Environmental Systems Science, University of Vienna, 1030 Vienna, Austria.
Damian SzklarczykDepartment of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland.
Christian von MeringDepartment of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland.
Lars J JensenNovo Nordisk Foundation Center for Protein Research, University of Copenhagen, 2200 Copenhagen, Denmark.ORCID 0000-0001-7885-715X
University of Copenhagen · DKSIB Swiss Institute of Bioinformatics · CHInstituto Colombiano de Medicina Tropical · COUniversity of California, San Francisco · USUniversity of Vienna · AT

Funding

TR&D 3 - Network Guided Machine LearningP41GM103504 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2012 to 2024
$17.3M
NIGMS NIH HHS P41 GM103504
6 · The paper itself

Abstract

Biological networks are often used to represent complex biological systems, which can contain several types of entities. Analysis and visualization of such networks is supported by the Cytoscape software tool and its many apps. While earlier versions of stringApp focused on providing intraspecies protein-protein interactions from the STRING database, the new stringApp 2.0 greatly improves the support for heterogeneous networks. Here, we highlight new functionality that makes it possible to create networks that contain proteins and interactions from STRING as well as other biological entities and associations from other sources. We exemplify this by complementing a published SARS-CoV-2 interactome with interactions from STRING. We have also extended stringApp with new data and query functionality for protein-protein interactions between eukaryotic parasites and their hosts. We show how this can be used to retrieve and visualize a cross-species network for a malaria parasite, its host, and its vector. Finally, the latest stringApp version has an improved user interface, allows retrieval of both functional associations and physical interactions, and supports group-wise enrichment analysis of different parts of a network to aid biological interpretation. stringApp is freely available at https://apps.cytoscape.org/apps/stringapp.

Indexed as

COVID-19EukaryotaHumansProteinsSARS-CoV-2SoftwareProteinscross-species interactionsCytoscapeenrichment analysisheterogeneous networkshost−parasiteomics dataSTRINGstringAppvirus−host

Identifiers

PMID36512705
PMCPMC9904289
OpenAlexW4311275500

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.