Evidence map›Paper›PMID 28459059›Full record

ArticleBioMed research international2017

The Combination of Computational and Biosensing Technologies for Selecting Aptamer against Prostate Specific Antigen.

Pi-Chou Hsieh, Hui-Ting Lin, Wen-Yih Chen, Jeffrey J P Tsai, Wen-Pin Hu

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. In-Silico Selection of Aptamer Targeting SARS-CoV-2 Spike Protein.International journal of molecular sciences · 2022
    Article
  5. RSC advances · 2019
    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

5 authors at 3 institutions in 1 country.

Pi-Chou HsiehDepartment of Bioinformatics and Medical Engineering, Asia University, Taichung City 41354, Taiwan.
Hui-Ting LinDepartment of Physical Therapy, I-Shou University, Kaohsiung City 82445, Taiwan.
Wen-Yih ChenDepartment of Chemical and Materials Engineering, National Central University, Jhongli 32001, Taiwan.
Jeffrey J P TsaiDepartment of Bioinformatics and Medical Engineering, Asia University, Taichung City 41354, Taiwan.
Wen-Pin HuDepartment of Bioinformatics and Medical Engineering, Asia University, Taichung City 41354, Taiwan.ORCID 0000-0003-1826-7689
Asia University · TWI-Shou University · TWNational Central University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herein, we report a method of combining bioinformatics and biosensing technologies to select aptamers against prostate specific antigen (PSA). The main objective of this study is to select DNA aptamers with higher binding affinity for PSA by using the proposed method. Based on the five known sequences of PSA-binding aptamers, we adopted the functions of reproduction and crossover in the genetic algorithm to produce next-generation sequences for the computational and experimental analysis. RNAfold web server was utilized to analyze the secondary structures, and the 3-dimensional molecular models of aptamer sequences were generated by using RNAComposer web server. ZRANK scoring function was used to rerank the docking predictions from ZDOCK. The biosensors, the quartz crystal microbalance (QCM) and a surface plasmon resonance (SPR) instrument, were used to verify the binding ability of selected aptamer for PSA. By carrying out the simulations and experiments after two generations, we obtain one aptamer that can have the highest binding affinity with PSA, which generates almost 2-fold and 3-fold greater measured signals than the responses produced by the best known DNA sequence in the QCM and SPR experiments, respectively.

Indexed as

AlgorithmsAptamers, NucleotideBiosensing TechniquesComputational BiologyHumansMaleProstate-Specific AntigenQuartz Crystal Microbalance TechniquesAptamers, NucleotideProstate-Specific Antigen

Identifiers

PMID28459059
PMCPMC5387809
OpenAlexW2601750378

What OpenQuestion holds

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LicenceCC BY
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.