Evidence map›Paper›PMID 24279298›Full record

ArticleNucleic acid therapeutics2013

A computationally designed DNA aptamer template with specific binding to phosphatidylserine.

Md Ashrafuzzaman, Chih-Yuan Tseng, Janice Kapty, John R Mercer, Jack A Tuszynski

Open access · greenAbstract read
In one paragraph

Article in Nucleic acid therapeutics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

15 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Structure- and Interaction-Based Design of Anti-SARS-CoV-2 Aptamers.Chemistry (Weinheim an der Bergstrasse, Germany) · 2022
    Article
  6. Article
  7. Article
  8. Methods and Applications of In Silico Aptamer Design and Modeling.International journal of molecular sciences · 2020
    Review
  9. Article
  10. Aptamer Bioinformatics.International journal of molecular sciences · 2017
    Review
  11. Review
  12. Article
  13. Review
  14. Mathematical and computational modeling in biology at multiple scales.Theoretical biology & medical modelling · 2014
    Review
  15. Aptamers as both drugs and drug-carriers.BioMed research international · 2014
    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

5 authors at 2 institutions in 2 countries.

Md Ashrafuzzaman1 Department of Oncology, Faculty of Medicine and Dentistry, University of Alberta , Edmonton, Alberta, Canada .
Chih-Yuan Tseng
Janice Kapty
John R Mercer
Jack A Tuszynski
University of Alberta · CAKing Saud University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The phospholipid phosphatidylserine (PS) is an early marker exploited for detecting apoptosis (PS externalization in the cell membrane bilayer) and one factor that is associated with increased amyloid plaque deposition in transmissible spongiform encephalopathies (TSEs). PS can therefore be considered as a promising target for diagnosis or treatment of diseases. Aptamers (short nucleic acid sequences) are a particularly attractive class of materials among those currently considered for targeting PS. Here we applied an entropy based seed-and-grow strategy to design a DNA aptamer template to bind specifically to PS. The binding properties of designed aptamers were investigated computationally and experimentally. The studies identify the sequence, 5'-AAAGAC-3', as the preferred template for further modifications and studies toward its practical implementations.

Indexed as

ApoptosisAptamers, NucleotideBase SequenceEntropyLiposomesMolecular Docking SimulationNucleic Acid ConformationPhosphatidylserinesSpectrometry, FluorescenceAptamers, NucleotideLiposomesPhosphatidylserines

Identifiers

PMID24279298
PMCPMC3868250
OpenAlexW2071398114

What OpenQuestion holds

Textmetadata
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.