Evidence map›Paper›PMID 25866800›Full record

ArticleBioMed research international2015

Computational selection of RNA aptamer against angiopoietin-2 and experimental evaluation.

Wen-Pin Hu, Jangam Vikram Kumar, Chun-Jen Huang, Wen-Yih Chen

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. In-Silico Selection of Aptamer Targeting SARS-CoV-2 Spike Protein.International journal of molecular sciences · 2022
    Article
  10. International journal of molecular sciences · 2021
    Article
  11. Artificial Intelligence in Aptamer-Target Binding Prediction.International journal of molecular sciences · 2021
    Review
  12. Informatics in medicine unlocked · 2021
    Article
  13. Methods and Applications of In Silico Aptamer Design and Modeling.International journal of molecular sciences · 2020
    Review
  14. Review
  15. Aptamer Bioinformatics.International journal of molecular sciences · 2017
    Review
  16. Article
  17. 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

4 authors at 2 institutions in 1 country.

Wen-Pin HuDepartment of Biomedical Informatics, Asia University, Taichung City 41354, Taiwan ; Department of Medical Laboratory Science and Biotechnology, China Medical University, Taichung City 40402, Taiwan.
Jangam Vikram KumarDepartment of Biomedical Informatics, Asia University, Taichung City 41354, Taiwan.
Chun-Jen HuangGraduate Institute of Biomedical Engineering, National Central University, Jhongli 32001, Taiwan.
Wen-Yih ChenDepartment of Chemical and Materials Engineering, National Central University, Jhongli 32001, Taiwan.
Asia University · TWNational Central University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Angiogenesis plays a decisive role in the growth and spread of cancer and angiopoietin-2 (Ang2) is in the spotlight of studies for its unique role in modulating angiogenesis. The aim of this study was to introduce a computational simulation approach to screen aptamers with high binding ability for Ang2. We carried out computational simulations of aptamer-protein interactions by using ZDOCK and ZRANK functions in Discovery Studio 3.5 starting from the available information of aptamers generated through the systematic evolution of ligands by exponential enrichment (SELEX) in the literature. From the best of three aptamers on the basis of ZRANK scores, 189 sequences with two-point mutations were created and simulated with Ang2. Then, we used a surface plasmon resonance (SPR) biosensor to test 3 mutant sequences of high ZRANK scores along with a high and a low affinity binding sequence as reported in the literature. We found a selected RNA aptamer has a higher binding affinity and SPR response than a reported sequence with the highest affinity. This is the first study of in silico selection of aptamers against Ang2 by using the ZRANK scoring function, which should help to increase the efficiency of selecting aptamers with high target-binding ability.

Indexed as

Computer SimulationSELEX Aptamer TechniqueSurface Plasmon ResonanceAngiopoietin-2Aptamers, NucleotideHumansAngiopoietin-2ANGPT2 protein, humanAptamers, Nucleotide

Identifiers

PMID25866800
PMCPMC4383501
OpenAlexW2112239026

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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.