Evidence map›Paper›PMID 28867802›Full record

ReviewSensors (Basel, Switzerland)2017

Design of Artificial Riboswitches as Biosensors.

Sven Findeiß, Maja Etzel, Sebastian Will, Mario Mörl, Peter F Stadler

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Current Approaches for Genetic Manipulation ofBiotech (Basel (Switzerland)) · 2025
    Review
  10. Article
  11. Article
  12. Regulatory RNAs inSynthetic and systems biotechnology · 2024
    Review
  13. Aptamers' Potential to Fill Therapeutic and Diagnostic Gaps.Pharmaceuticals (Basel, Switzerland) · 2024
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. In-Cell NMR Spectroscopy of Functional Riboswitch Aptamers in Eukaryotic Cells.Angewandte Chemie (International ed. in English) · 2021
    Article
  20. Using sliding mode observers to estimateIET systems biology · 2020
    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

5 authors.

Sven FindeißBioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University Leipzig, Härtelstraße 16-18, 04107 Leipzig, Germany. sven@bioinf.uni-leipzig.de.
Maja EtzelInstitute for Biochemistry, Leipzig University, Brüderstraße 34, 04103 Leipzig, Germany. maja.etzel@uni-leipzig.de.
Sebastian WillBioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University Leipzig, Härtelstraße 16-18, 04107 Leipzig, Germany. moerl@uni-leipzig.de.
Mario MörlInstitute for Biochemistry, Leipzig University, Brüderstraße 34, 04103 Leipzig, Germany. moerl@uni-leipzig.de.
Peter F StadlerBioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University Leipzig, Härtelstraße 16-18, 04107 Leipzig, Germany. studla@bioinf.uni-leipzig.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA aptamers readily recognize small organic molecules, polypeptides, as well as other nucleic acids in a highly specific manner. Many such aptamers have evolved as parts of regulatory systems in nature. Experimental selection techniques such as SELEX have been very successful in finding artificial aptamers for a wide variety of natural and synthetic ligands. Changes in structure and/or stability of aptamers upon ligand binding can propagate through larger RNA constructs and cause specific structural changes at distal positions. In turn, these may affect transcription, translation, splicing, or binding events. The RNA secondary structure model realistically describes both thermodynamic and kinetic aspects of RNA structure formation and refolding at a single, consistent level of modelling. Thus, this framework allows studying the function of natural riboswitches in silico. Moreover, it enables rationally designing artificial switches, combining essentially arbitrary sensors with a broad choice of read-out systems. Eventually, this approach sets the stage for constructing versatile biosensors.

Indexed as

RiboswitchAptamers, NucleotideBiosensing TechniquesKineticsLigandsAptamers, NucleotideLigandsRiboswitchaptamerfolding kineticsligand bindingrational designrefoldingRNA structurethermodynamics

Identifiers

PMID28867802
PMCPMC5621056

What OpenQuestion holds

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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.