Evidence map›Paper›PMID 36370105›Full record

ArticleNucleic acids research2023

The STRING database in 2023: protein-protein association networks and functional enrichment analyses for any sequenced genome of interest.

Damian Szklarczyk, Rebecca Kirsch, Mikaela Koutrouli, Katerina Nastou, Farrokh Mehryary, Radja Hachilif, Annika L Gable, Tao Fang, Nadezhda T Doncheva, Sampo Pyysalo and 3 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5,541 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5,541citing papers in PubMed, 2 pooled it
–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

5,541 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Low Carbohydrate Availability in Energy Balance Alters Bone Turnover and Muscle Proteomic Response With Limited Endocrine Disruption.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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  15. Integrative multi-omics and bioinformatic analysis ofThe Japanese dental science review · 2026
    Review
  16. NAR cancer · 2026
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5,481 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

13 authors.

Damian SzklarczykDepartment of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland.
Rebecca KirschNovo Nordisk Foundation Center for Protein Research, University of Copenhagen, 2200 Copenhagen N, Denmark.
Mikaela KoutrouliNovo Nordisk Foundation Center for Protein Research, University of Copenhagen, 2200 Copenhagen N, Denmark.ORCID 0000-0002-8953-3561
Katerina NastouNovo Nordisk Foundation Center for Protein Research, University of Copenhagen, 2200 Copenhagen N, Denmark.ORCID 0000-0003-3611-5726
Farrokh MehryaryTurkuNLP lab, Department of Computing, University of Turku, 20014 Turku, Finland.ORCID 0000-0002-5555-2828
Radja HachilifDepartment of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland.
Annika L GableDepartment of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland.
Tao FangDepartment of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland.ORCID 0000-0001-9659-7726
Nadezhda T DonchevaNovo Nordisk Foundation Center for Protein Research, University of Copenhagen, 2200 Copenhagen N, Denmark.ORCID 0000-0002-8806-6850
Sampo PyysaloTurkuNLP lab, Department of Computing, University of Turku, 20014 Turku, Finland.
Peer BorkStructural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
Lars J JensenNovo Nordisk Foundation Center for Protein Research, University of Copenhagen, 2200 Copenhagen N, Denmark.
Christian von MeringDepartment of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland.ORCID 0000-0001-7734-9102

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Much of the complexity within cells arises from functional and regulatory interactions among proteins. The core of these interactions is increasingly known, but novel interactions continue to be discovered, and the information remains scattered across different database resources, experimental modalities and levels of mechanistic detail. The STRING database (https://string-db.org/) systematically collects and integrates protein-protein interactions-both physical interactions as well as functional associations. The data originate from a number of sources: automated text mining of the scientific literature, computational interaction predictions from co-expression, conserved genomic context, databases of interaction experiments and known complexes/pathways from curated sources. All of these interactions are critically assessed, scored, and subsequently automatically transferred to less well-studied organisms using hierarchical orthology information. The data can be accessed via the website, but also programmatically and via bulk downloads. The most recent developments in STRING (version 12.0) are: (i) it is now possible to create, browse and analyze a full interaction network for any novel genome of interest, by submitting its complement of encoded proteins, (ii) the co-expression channel now uses variational auto-encoders to predict interactions, and it covers two new sources, single-cell RNA-seq and experimental proteomics data and (iii) the confidence in each experimentally derived interaction is now estimated based on the detection method used, and communicated to the user in the web-interface. Furthermore, STRING continues to enhance its facilities for functional enrichment analysis, which are now fully available also for user-submitted genomes.

Indexed as

Protein Interaction MappingProteinsDatabases, ProteinGenomicsProteomicsUser-Computer InterfaceProteins

Identifiers

PMID36370105
PMCPMC9825434

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.