Evidence map›Paper›PMID 29851074›Full record

ReviewFEBS letters2018

RNA-protein interactions in an unstructured context.

Bojan Zagrovic, Lukas Bartonek, Anton A Polyansky

Abstract readReview
In one paragraph

Review in FEBS letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. From the genome's perspective: Bearing somatic retrotransposition to leverage the regulatory potential of L1 RNAs.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  6. Coding relationship links RNA G-quadruplexes and protein RGG motifs in RNA-binding protein autoregulation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. HSF1, Aging, and Neurodegeneration.Advances in experimental medicine and biology · 2023
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

3 authors.

Bojan ZagrovicDepartment of Structural and Computational Biology, Max F. Perutz Laboratories, University of Vienna, Austria.
Lukas BartonekDepartment of Structural and Computational Biology, Max F. Perutz Laboratories, University of Vienna, Austria.
Anton A PolyanskyDepartment of Structural and Computational Biology, Max F. Perutz Laboratories, University of Vienna, Austria.

Funding

Austrian Science Fund FWF P 30680European Research Council 279408
6 · The paper itself

Abstract

Despite their importance, our understanding of noncovalent RNA-protein interactions is incomplete. This especially concerns the binding between RNA and unstructured protein regions, a widespread class of such interactions. Here, we review the recent experimental and computational work on RNA-protein interactions in an unstructured context with a particular focus on how such interactions may be shaped by the intrinsic interaction affinities between individual nucleobases and protein side chains. Specifically, we articulate the claim that the universal genetic code reflects the binding specificity between nucleobases and protein side chains and that, in turn, the code may be seen as the Rosetta stone for understanding RNA-protein interactions in general.

Indexed as

Amino Acid MotifsAnimalsBinding SitesComputational BiologyGenetic CodeHumansProtein BindingProteinsRNAProteinsRNAintrinsically disordered proteinslong noncoding RNAsnucleobase/amino acid interaction affinity scalesRNA-protein granulesRNA-protein interactions

Identifiers

PMID29851074
PMCPMC6175095

What OpenQuestion holds

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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.