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Computational Modeling of RNA Aptamers: Structure Prediction of the Apo State
[Image: see text] RNA aptamers are single-stranded oligonucleotides that bind to specific molecular targets with high affinity and specificity. To design aptamers for new applications, it is critical to understand the ligand binding mechanism in terms of the structure and dynamics of the ligand-boun...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512008/ https://www.ncbi.nlm.nih.gov/pubmed/36097649 http://dx.doi.org/10.1021/acs.jpcb.2c04649 |
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author | Yan, Shuting Ilgu, Muslum Nilsen-Hamilton, Marit Lamm, Monica H. |
author_facet | Yan, Shuting Ilgu, Muslum Nilsen-Hamilton, Marit Lamm, Monica H. |
author_sort | Yan, Shuting |
collection | PubMed |
description | [Image: see text] RNA aptamers are single-stranded oligonucleotides that bind to specific molecular targets with high affinity and specificity. To design aptamers for new applications, it is critical to understand the ligand binding mechanism in terms of the structure and dynamics of the ligand-bound and apo states. The problem is that most of the NMR or X-ray crystal structures available for RNA aptamers are for ligand-bound states. Available apo state structures, mostly characterized by crystallization under nonphysiological conditions or probed by low resolution techniques, might fail to represent the diverse structural variations of the apo state in solution. Here, we develop an approach to obtain a representative ensemble of apo structures that are based on in silico RNA 3D structure prediction and in vitro experiments that characterize base stacking. Using the neomycin-B aptamer as a case study, an ensemble of structures for the aptamer in the apo (unbound) state are validated and then used to investigate the ligand-binding mechanism for the aptamer in complex with neomycin-B. |
format | Online Article Text |
id | pubmed-9512008 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-95120082023-09-13 Computational Modeling of RNA Aptamers: Structure Prediction of the Apo State Yan, Shuting Ilgu, Muslum Nilsen-Hamilton, Marit Lamm, Monica H. J Phys Chem B [Image: see text] RNA aptamers are single-stranded oligonucleotides that bind to specific molecular targets with high affinity and specificity. To design aptamers for new applications, it is critical to understand the ligand binding mechanism in terms of the structure and dynamics of the ligand-bound and apo states. The problem is that most of the NMR or X-ray crystal structures available for RNA aptamers are for ligand-bound states. Available apo state structures, mostly characterized by crystallization under nonphysiological conditions or probed by low resolution techniques, might fail to represent the diverse structural variations of the apo state in solution. Here, we develop an approach to obtain a representative ensemble of apo structures that are based on in silico RNA 3D structure prediction and in vitro experiments that characterize base stacking. Using the neomycin-B aptamer as a case study, an ensemble of structures for the aptamer in the apo (unbound) state are validated and then used to investigate the ligand-binding mechanism for the aptamer in complex with neomycin-B. American Chemical Society 2022-09-13 2022-09-22 /pmc/articles/PMC9512008/ /pubmed/36097649 http://dx.doi.org/10.1021/acs.jpcb.2c04649 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Yan, Shuting Ilgu, Muslum Nilsen-Hamilton, Marit Lamm, Monica H. Computational Modeling of RNA Aptamers: Structure Prediction of the Apo State |
title | Computational Modeling
of RNA Aptamers: Structure
Prediction of the Apo State |
title_full | Computational Modeling
of RNA Aptamers: Structure
Prediction of the Apo State |
title_fullStr | Computational Modeling
of RNA Aptamers: Structure
Prediction of the Apo State |
title_full_unstemmed | Computational Modeling
of RNA Aptamers: Structure
Prediction of the Apo State |
title_short | Computational Modeling
of RNA Aptamers: Structure
Prediction of the Apo State |
title_sort | computational modeling
of rna aptamers: structure
prediction of the apo state |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512008/ https://www.ncbi.nlm.nih.gov/pubmed/36097649 http://dx.doi.org/10.1021/acs.jpcb.2c04649 |
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