Evidence map›Paper›PMID 18594898›Full record

ArticleJournal of molecular evolution2008

Bioinformatic analysis of the contribution of primer sequences to aptamer structures.

Matthew C Cowperthwaite, Andrew D Ellington

Abstract read
In one paragraph

Article in Journal of molecular evolution, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Aptamer-Based Strategies to Address Challenges in COVID-19 Diagnosis and Treatments.Interdisciplinary perspectives on infectious diseases · 2023
    Review
  9. Review
  10. Optimization of Short RNA Aptamers for TNBC Cell Targeting.International journal of molecular sciences · 2022
    Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Inside the Black Box: What Makes SELEX Better?Molecules (Basel, Switzerland) · 2019
    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

2 authors.

Matthew C CowperthwaiteInstitute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX 78712, USA. mattccowp@mac.com
Andrew D Ellington

Funding

Electrochemical arrays for the detection of small molecule drugsR01EB007689 · NIBIB · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI PLAXCO, KEVIN W · 2008 to 2011
$1.3M
NIBIB NIH HHS R01 EB007689
6 · The paper itself

Abstract

Aptamers are nucleic acid molecules selected in vitro to bind a particular ligand. While numerous experimental studies have examined the sequences, structures, and functions of individual aptamers, considerably fewer studies have applied bioinformatics approaches to try to infer more general principles from these individual studies. We have used a large Aptamer Database to parse the contributions of both random and constant regions to the secondary structures of more than 2000 aptamers. We find that the constant, primer-binding regions do not, in general, contribute significantly to aptamer structures. These results suggest that (a) binding function is not contributed to nor constrained by constant regions; (b) in consequence, the landscape of functional binding sequences is sparse but robust, favoring scenarios for short, functional nucleic acid sequences near origins; and (c) many pool designs for the selection of aptamers are likely to prove robust.

Indexed as

Aptamers, NucleotideComputational BiologyDNA PrimersNucleic Acid ConformationThermodynamicsAptamers, NucleotideDNA Primers

Identifiers

PMID18594898
PMCPMC2671994

What OpenQuestion holds

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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.