Literature DB >> 27754489

In Silico Aptamer Docking Studies: From a Retrospective Validation to a Prospective Case Study-TIM3 Aptamers Binding.

Obdulia Rabal1,2, Fernando Pastor2,3,4, Helena Villanueva2,3,4, Mario M Soldevilla2,3,4, Sandra Hervas-Stubbs4,5, Julen Oyarzabal1,2.   

Abstract

Complementing Systematic Evolution of Ligands by EXponential Enrichment (SELEX) technologies with in silico prediction of aptamer binders has attracted a lot of interest in the recent years. We propose a workflow involving 2D structure prediction, 3D RNA modeling using Rosetta and docking to the target protein with 3dRPC for: (i) prediction of the binding mode of our two previously reported potent (Kd < 50 nmol/l) murine TIM3 aptamers, and (ii) the prioritization of TIM3 aptamers that were enriched in the SELEX workflow. The procedure was first validated in five different study cases. As a novelty, cluster analysis of the docked poses was carried out and shown to be useful in reproducing the binding mode or at least in identifying the binding site and the experimental aptamer-protein interactions. For TIM3, our therapeutic target of interest, a plausible binding site and binding mode was identified that might explain the lack of cross-reactivity in murine over human TIM-3. Concerning the prioritization of the aptamers, the inclusion of the cluster analysis as an additional criterion following a rank-by-rank approach is discussed and compared with the performance of the docking scoring function alone for two validation cases and for the prospective assessment of the novel aptamers as TIM3 binders.

Entities:  

Year:  2016        PMID: 27754489     DOI: 10.1038/mtna.2016.84

Source DB:  PubMed          Journal:  Mol Ther Nucleic Acids        ISSN: 2162-2531            Impact factor:   10.183


  8 in total

1.  Structure based innovative approach to analyze aptaprobe-GPC3 complexes in hepatocellular carcinoma.

Authors:  Woo-Ri Shin; Dae-Young Park; Ji Hun Kim; Jin-Pyo Lee; Nguyen Quang Thai; In-Hwan Oh; Simranjeet Singh Sekhon; Wooil Choi; Sung Yeon Kim; Byung-Kwan Cho; Sun Chang Kim; Jiho Min; Ji-Young Ahn; Yang-Hoon Kim
Journal:  J Nanobiotechnology       Date:  2022-04-27       Impact factor: 9.429

Review 2.  Aptamers: A New Technological Platform in Cancer Immunotherapy.

Authors:  Fernando Pastor
Journal:  Pharmaceuticals (Basel)       Date:  2016-10-24

Review 3.  Aptamer Bioinformatics.

Authors:  Andrew B Kinghorn; Lewis A Fraser; Shaolin Lang; Simon Chi-Chin Shiu; Julian A Tanner
Journal:  Int J Mol Sci       Date:  2017-11-24       Impact factor: 5.923

4.  Identification of LAG3 high affinity aptamers by HT-SELEX and Conserved Motif Accumulation (CMA).

Authors:  Mario Martínez Soldevilla; Sandra Hervas; Helena Villanueva; Teresa Lozano; Obdulia Rabal; Julen Oyarzabal; Juan José Lasarte; Maurizio Bendandi; Susana Inoges; Ascensión López-Díaz de Cerio; Fernando Pastor
Journal:  PLoS One       Date:  2017-09-21       Impact factor: 3.240

Review 5.  Molecular Modeling Applied to Nucleic Acid-Based Molecule Development.

Authors:  Arne Krüger; Flávia M Zimbres; Thales Kronenberger; Carsten Wrenger
Journal:  Biomolecules       Date:  2018-08-27

Review 6.  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

7.  Search for RNA aptamers against non-structural protein of SARS-CoV-2: Design using molecular dynamics approach.

Authors:  Ram Kothandan; Pavithra Uthayasooriyan; Sivaranjani Vairamani
Journal:  Beni Suef Univ J Basic Appl Sci       Date:  2021-10-12

8.  Atomic Scale Interactions between RNA and DNA Aptamers with the TNF-α Protein.

Authors:  Homayoun Asadzadeh; Ali Moosavi; Georgios Alexandrakis; Mohammad R K Mofrad
Journal:  Biomed Res Int       Date:  2021-07-16       Impact factor: 3.411

  8 in total

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