Evidence map›Paper›PMID 28077569›Full record

ArticleDatabase : the journal of biological databases and curation2017

RAIN: RNA-protein Association and Interaction Networks.

Alexander Junge, Jan C Refsgaard, Christian Garde, Xiaoyong Pan, Alberto Santos, Ferhat Alkan, Christian Anthon, Christian von Mering, Christopher T Workman, Lars Juhl Jensen and 1 more

Erratum issuedAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. The aging genome exhibits organized vulnerability to somatic mutations.bioRxiv : the preprint server for biology · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Noncoding RNAs improve the predictive power of network medicine.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. OnTheFlyNAR genomics and bioinformatics · 2021
    Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. Identification of two microRNA nodes as potential cooperative modulators of liver metabolism.Hepatology research : the official journal of the Japan Society of Hepatology · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Alexander JungeCenter for Non-coding RNA in Technology and Health, University of Copenhagen, Copenhagen,, Groennegaardsvej 3, DK-1870 Frederiksberg C, Denmark.
Jan C RefsgaardDisease Systems Biology Program, Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Building: 06-2-26, Blegdamsvej 3B, DK-2200 Copenhagen N, Denmark.
Christian GardeCenter for Non-coding RNA in Technology and Health, University of Copenhagen, Copenhagen,, Groennegaardsvej 3, DK-1870 Frederiksberg C, Denmark.
Xiaoyong PanCenter for Non-coding RNA in Technology and Health, University of Copenhagen, Copenhagen,, Groennegaardsvej 3, DK-1870 Frederiksberg C, Denmark.
Alberto SantosDisease Systems Biology Program, Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Building: 06-2-26, Blegdamsvej 3B, DK-2200 Copenhagen N, Denmark.
Ferhat AlkanCenter for Non-coding RNA in Technology and Health, University of Copenhagen, Copenhagen,, Groennegaardsvej 3, DK-1870 Frederiksberg C, Denmark.
Christian AnthonCenter for Non-coding RNA in Technology and Health, University of Copenhagen, Copenhagen,, Groennegaardsvej 3, DK-1870 Frederiksberg C, Denmark.
Christian von MeringInstitute of Molecular Life Sciences and Swiss Institute of Bioinformatics, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland.
Christopher T WorkmanCenter for Non-coding RNA in Technology and Health, University of Copenhagen, Copenhagen,, Groennegaardsvej 3, DK-1870 Frederiksberg C, Denmark.
Lars Juhl JensenCenter for Non-coding RNA in Technology and Health, University of Copenhagen, Copenhagen,, Groennegaardsvej 3, DK-1870 Frederiksberg C, Denmark.
Jan GorodkinCenter for Non-coding RNA in Technology and Health, University of Copenhagen, Copenhagen,, Groennegaardsvej 3, DK-1870 Frederiksberg C, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein association networks can be inferred from a range of resources including experimental data, literature mining and computational predictions. These types of evidence are emerging for non-coding RNAs (ncRNAs) as well. However, integration of ncRNAs into protein association networks is challenging due to data heterogeneity. Here, we present a database of ncRNA-RNA and ncRNA-protein interactions and its integration with the STRING database of protein-protein interactions. These ncRNA associations cover four organisms and have been established from curated examples, experimental data, interaction predictions and automatic literature mining. RAIN uses an integrative scoring scheme to assign a confidence score to each interaction. We demonstrate that RAIN outperforms the underlying microRNA-target predictions in inferring ncRNA interactions. RAIN can be operated through an easily accessible web interface and all interaction data can be downloaded.Database URL: http://rth.dk/resources/rain.

Indexed as

Databases, GeneticMicroRNAsRNA-Binding ProteinsUser-Computer InterfaceMicroRNAsRNA-Binding Proteins

Identifiers

PMID28077569
PMCPMC5225963

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.