Evidence map›Paper›PMID 23812999›Full record

ArticleBioinformatics (Oxford, England)2013

A weighted sampling algorithm for the design of RNA sequences with targeted secondary structure and nucleotide distribution.

Vladimir Reinharz, Yann Ponty, Jérôme Waldispühl

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

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0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

23 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Developing Complex RNA Design Applications in the Infrared Framework.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  7. Article
  8. Fitness functions for RNA structure design.Nucleic acids research · 2023
    Article
  9. The energy-spectrum of bicompatible sequences.Algorithms for molecular biology : AMB · 2021
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. antaRNA: ant colony-based RNA sequence design.Bioinformatics (Oxford, England) · 2015
    Article
  20. 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

3 authors.

Vladimir ReinharzSchool of Computer Science & McGill Centre for Bioinformatics, McGill University, Montréal, QC, Canada.
Yann Ponty
Jérôme Waldispühl

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationsThe design of RNA sequences folding into predefined secondary structures is a milestone for many synthetic biology and gene therapy studies. Most of the current software uses similar local search strategies (i.e. a random seed is progressively adapted to acquire the desired folding properties) and more importantly do not allow the user to control explicitly the nucleotide distribution such as the GC-content in their sequences. However, the latter is an important criterion for large-scale applications as it could presumably be used to design sequences with better transcription rates and/or structural plasticity.

resultsIn this article, we introduce IncaRNAtion, a novel algorithm to design RNA sequences folding into target secondary structures with a predefined nucleotide distribution. IncaRNAtion uses a global sampling approach and weighted sampling techniques. We show that our approach is fast (i.e. running time comparable or better than local search methods), seedless (we remove the bias of the seed in local search heuristics) and successfully generates high-quality sequences (i.e. thermodynamically stable) for any GC-content. To complete this study, we develop a hybrid method combining our global sampling approach with local search strategies. Remarkably, our glocal methodology overcomes both local and global approaches for sampling sequences with a specific GC-content and target structure. AVAILABILITY: IncaRNAtion is available at csb.cs.mcgill.ca/incarnation/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

AlgorithmsBase CompositionBase SequenceModels, StatisticalNucleic Acid ConformationNucleotidesRNASequence Analysis, RNASoftwareThermodynamicsNucleotidesRNA

Identifiers

PMID23812999
PMCPMC3694657

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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.