Literature DB >> 27188956

Computational approach to analyze isolated ssDNA aptamers against angiotensin II.

Mohammad Heiat1, Ali Najafi2, Reza Ranjbar1, Ali Mohammad Latifi3, Mohammad Javad Rasaee4.   

Abstract

Aptamers are oligonucleotides with highly structured molecules that can bind to their targets through specific 3-D conformation. Commonly, not all the nucleotides such as primer binding fixed region and some other sequences are vital for aptamers folding and interaction. Elimination of unnecessary regions needs trustworthy prediction tools to reduce experimental efforts and errors. Here we introduced a manipulated in-silico approach to predict the 3-D structure of aptamers and their target interactions. To design an approach for computational analysis of isolated ssDNA aptamers (FLC112, FLC125 and their truncated core region including CRC112 and CRC125), their secondary and tertiary structures were modeled by Mfold and RNA composer respectively. Output PDB files were modified from RNA to DNA in the discovery studio visualizer software. Using ZDOCK server, the aptamer-target interactions were predicted. Finally, the interaction scores were compared with the experimental results. In-silico interaction scores and the experimental outcomes were in the same descending arrangement of FLC112>CRC125>CRC112>FLC125 with similar intensity. The consistent results of innovative in-silico method with experimental outputs, affirmed that the present method may be a reliable approach. Also, it showed that the exact in-silico predictions can be utilized as a credible reference to find aptameric fragments binding potency.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Docking; In-silico analysis; SELEX; ssDNA aptamer

Mesh:

Substances:

Year:  2016        PMID: 27188956     DOI: 10.1016/j.jbiotec.2016.05.021

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  10 in total

1.  Integration of multiple computer modeling software programs for characterization of a brain natriuretic peptide sandwich DNA aptamer complex.

Authors:  John G Bruno
Journal:  J Mol Recognit       Date:  2019-08-16       Impact factor: 2.137

2.  Simple Methods and Rational Design for Enhancing Aptamer Sensitivity and Specificity.

Authors:  Priya Kalra; Abhijeet Dhiman; William C Cho; John G Bruno; Tarun K Sharma
Journal:  Front Mol Biosci       Date:  2018-05-14

3.  Predicting the Most Stable Aptamer/Target Molecule Complex Configuration Using a Stochastic-Tunnelling Basin-Hopping Discrete Molecular Dynamics Method: A Novel Global Minimum Search Method for a Biomolecule Complex.

Authors:  Hung-Wei Yang; Shin-Pon Ju; Yu-Sheng Lin
Journal:  Comput Struct Biotechnol J       Date:  2019-06-20       Impact factor: 7.271

Review 4.  Methods and Applications of In Silico Aptamer Design and Modeling.

Authors:  Andrey A Buglak; Alexey V Samokhvalov; Anatoly V Zherdev; Boris B Dzantiev
Journal:  Int J Mol Sci       Date:  2020-11-10       Impact factor: 5.923

5.  In silico post-SELEX screening and experimental characterizations for acquisition of high affinity DNA aptamers against carcinoembryonic antigen.

Authors:  Qiong-Lin Wang; Hui-Fang Cui; Jiang-Feng Du; Qi-Yan Lv; Xiaojie Song
Journal:  RSC Adv       Date:  2019-02-21       Impact factor: 4.036

Review 6.  Inspirations of Biomimetic Affinity Ligands: A Review.

Authors:  Aykut Arif Topçu; Seçkin Kılıç; Erdoğan Özgür; Deniz Türkmen; Adil Denizli
Journal:  ACS Omega       Date:  2022-09-09

7.  A New Method for Abrin Detection Based on the Interaction between Target Molecules and Fluorescently Labeled Aptamers on Magnetic Microspheres.

Authors:  Zhiwei Liu; Zhaoyang Tong; Yuting Wu; Bing Liu; Shasha Feng; Xihui Mu; Jiang Wang; Bin Du; Jianjie Xu; Shuai Liu
Journal:  Materials (Basel)       Date:  2022-10-08       Impact factor: 3.748

8.  Selection and targeting of EpCAM protein by ssDNA aptamer.

Authors:  Walhan Alshaer; Nidaa Ababneh; Mamon Hatmal; Heba Izmirli; Moujab Choukeife; Alaa Shraim; Nour Sharar; Aya Abu-Shiekah; Fadwa Odeh; Abeer Al Bawab; Abdalla Awidi; Said Ismail
Journal:  PLoS One       Date:  2017-12-15       Impact factor: 3.240

Review 9.  Artificial Intelligence in Aptamer-Target Binding Prediction.

Authors:  Zihao Chen; Long Hu; Bao-Ting Zhang; Aiping Lu; Yaofeng Wang; Yuanyuan Yu; Ge Zhang
Journal:  Int J Mol Sci       Date:  2021-03-30       Impact factor: 5.923

10.  Modelling aptamers with nucleic acid mimics (NAM): From sequence to three-dimensional docking.

Authors:  Ricardo Oliveira; Eva Pinho; Ana Luísa Sousa; Óscar Dias; Nuno Filipe Azevedo; Carina Almeida
Journal:  PLoS One       Date:  2022-03-23       Impact factor: 3.240

  10 in total

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