Evidence map›Paper›PMID 15923372›Full record

ArticleRNA (New York, N.Y.)2005

In vitro RNA random pools are not structurally diverse: a computational analysis.

Jana Gevertz, Hin Hark Gan, Tamar Schlick

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Heterogeneous and multiple conformational transition pathways between pseudoknots of the SARS-CoV-2 frameshift element.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Article
  7. Aptamer-Based Strategies to Address Challenges in COVID-19 Diagnosis and Treatments.Interdisciplinary perspectives on infectious diseases · 2023
    Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Inside the Black Box: What Makes SELEX Better?Molecules (Basel, Switzerland) · 2019
    Review
  17. Key Aspects of Nucleic Acid Library Design for in Vitro Selection.International journal of molecular sciences · 2018
    Review
  18. Article
  19. Aptamer Bioinformatics.International journal of molecular sciences · 2017
    Review
  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.

Jana GevertzSummer Undergraduate Research Program, New York University School of Medicine, New York, 10003, USA.
Hin Hark Gan
Tamar Schlick

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In vitro selection of functional RNAs from large random sequence pools has led to the identification of many ligand-binding and catalytic RNAs. However, the structural diversity in random pools is not well understood. Such an understanding is a prerequisite for designing sequence pools to increase the probability of finding complex functional RNA by in vitro selection techniques. Toward this goal, we have generated by computer five random pools of RNA sequences of length up to 100 nt to mimic experiments and characterized the distribution of associated secondary structural motifs using sets of possible RNA tree structures derived from graph theory techniques. Our results show that such random pools heavily favor simple topological structures: For example, linear stem-loop and low-branching motifs are favored rather than complex structures with high-order junctions, as confirmed by known aptamers. Moreover, we quantify the rise of structural complexity with sequence length and report the dominant class of tree motifs (characterized by vertex number) for each pool. These analyses show not only that random pools do not lead to a uniform distribution of possible RNA secondary topologies; they point to avenues for designing pools with specific simple and complex structures in equal abundance in the goal of broadening the range of functional RNAs discovered by in vitro selection. Specifically, the optimal RNA sequence pool length to identify a structure with x stems is 20x.

Indexed as

Computational BiologyComputer SimulationNucleic Acid ConformationRNARNA

Identifiers

PMID15923372
PMCPMC1370770

What OpenQuestion holds

Textmetadata
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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.