Literature DB >> 34323642

In silico strategies for modeling RNA aptamers and predicting binding sites of their molecular targets.

Alejandro Escamilla-Gutiérrez1,2, Rosa María Ribas-Aparicio1, María Guadalupe Córdova-Espinoza3,4, Juan Arturo Castelán-Vega1.   

Abstract

RNA aptamers are single-stranded nucleic acids of 20-100 nucleotides, with high sensitivity and specificity against particular molecular targets. In vitro production and selection of aptamers can be performed using the SELEX method. However, this procedure requires considerable time and cost. In this sense, bioinformatics tools play an important role in reducing the time and cost associated with development and production of aptamers. In this article, we propose bioinformatics strategies for modeling and analysis of the interaction with molecular targets for two RNA aptamers: ATP binding RNA aptamer and iSpinach aptamer. For this purpose, molecular modeling of the tertiary structure of the aptamers was performed with two servers (SimRNA and RNAComposer); and AutoDock Vina and rDock programs were used to dock their respective ligands. The predictions developed with these methods could be used for in silico design of RNA aptamers, through a simple and accessible methodology.Supplemental data for this article is available online at https://doi.org/10.1080/15257770.2021.1951754 .

Entities:  

Keywords:  RNA aptamer; RNA modeling; docking

Mesh:

Substances:

Year:  2021        PMID: 34323642     DOI: 10.1080/15257770.2021.1951754

Source DB:  PubMed          Journal:  Nucleosides Nucleotides Nucleic Acids        ISSN: 1525-7770            Impact factor:   1.381


  8 in total

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Journal:  Molecules       Date:  2022-02-11       Impact factor: 4.411

3.  Jusanin, a New Flavonoid from Artemisia commutata with an In Silico Inhibitory Potential against the SARS-CoV-2 Main Protease.

Authors:  Yerlan M Suleimen; Rani A Jose; Raigul N Suleimen; Christoph Arenz; Margarita Y Ishmuratova; Suzanne Toppet; Wim Dehaen; Bshra A Alsfouk; Eslam B Elkaeed; Ibrahim H Eissa; Ahmed M Metwaly
Journal:  Molecules       Date:  2022-03-01       Impact factor: 4.411

4.  Isolation and In Silico SARS-CoV-2 Main Protease Inhibition Potential of Jusan Coumarin, a New Dicoumarin from Artemisia glauca.

Authors:  Yerlan M Suleimen; Rani A Jose; Raigul N Suleimen; Margarita Y Ishmuratova; Suzanne Toppet; Wim Dehaen; Aisha A Alsfouk; Eslam B Elkaeed; Ibrahim H Eissa; Ahmed M Metwaly
Journal:  Molecules       Date:  2022-03-31       Impact factor: 4.411

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Authors:  Eslam B Elkaeed; Fadia S Youssef; Ibrahim H Eissa; Hazem Elkady; Aisha A Alsfouk; Mohamed L Ashour; Mahmoud A El Hassab; Sahar M Abou-Seri; Ahmed M Metwaly
Journal:  Int J Mol Sci       Date:  2022-06-21       Impact factor: 6.208

6.  The Computational Preventive Potential of the Rare Flavonoid, Patuletin, Isolated from Tagetes patula, against SARS-CoV-2.

Authors:  Ahmed M Metwaly; Eslam B Elkaeed; Bshra A Alsfouk; Abdulrahman M Saleh; Ahmad E Mostafa; Ibrahim H Eissa
Journal:  Plants (Basel)       Date:  2022-07-20

7.  Novel Design of RNA Aptamers as Cancer Inhibitors and Diagnosis Targeting the Tyrosine Kinase Domain of the NT-3 Growth Factor Receptor Using a Computational Sequence-Based Approach.

Authors:  Ashraf M Muhammad; Ali Zari; Nouf H Alsubhi; Maryam H Al-Zahrani; Rana Abdullah Alghamdi; Mai M Labib
Journal:  Molecules       Date:  2022-07-15       Impact factor: 4.927

8.  Isolation and In Silico Inhibitory Potential against SARS-CoV-2 RNA Polymerase of the Rare Kaempferol 3-O-(6″-O-acetyl)-Glucoside from Calligonum tetrapterum.

Authors:  Yerlan M Suleimen; Rani A Jose; Gulnur K Mamytbekova; Raigul N Suleimen; Margarita Y Ishmuratova; Wim Dehaen; Bshra A Alsfouk; Eslam B Elkaeed; Ibrahim H Eissa; Ahmed M Metwaly
Journal:  Plants (Basel)       Date:  2022-08-08
  8 in total

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