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Modeling the structure of the frameshift-stimulatory pseudoknot in SARS-CoV-2 reveals multiple possible conformers
The coronavirus causing the COVID-19 pandemic, SARS-CoV-2, uses −1 programmed ribosomal frameshifting (−1 PRF) to control the relative expression of viral proteins. As modulating −1 PRF can inhibit viral replication, the RNA pseudoknot stimulating −1 PRF may be a fruitful target for therapeutics tre...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7845960/ https://www.ncbi.nlm.nih.gov/pubmed/33465066 http://dx.doi.org/10.1371/journal.pcbi.1008603 |
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author | Omar, Sara Ibrahim Zhao, Meng Sekar, Rohith Vedhthaanth Moghadam, Sahar Arbabi Tuszynski, Jack A. Woodside, Michael T. |
author_facet | Omar, Sara Ibrahim Zhao, Meng Sekar, Rohith Vedhthaanth Moghadam, Sahar Arbabi Tuszynski, Jack A. Woodside, Michael T. |
author_sort | Omar, Sara Ibrahim |
collection | PubMed |
description | The coronavirus causing the COVID-19 pandemic, SARS-CoV-2, uses −1 programmed ribosomal frameshifting (−1 PRF) to control the relative expression of viral proteins. As modulating −1 PRF can inhibit viral replication, the RNA pseudoknot stimulating −1 PRF may be a fruitful target for therapeutics treating COVID-19. We modeled the unusual 3-stem structure of the stimulatory pseudoknot of SARS-CoV-2 computationally, using multiple blind structural prediction tools followed by μs-long molecular dynamics simulations. The results were compared for consistency with nuclease-protection assays and single-molecule force spectroscopy measurements of the SARS-CoV-1 pseudoknot, to determine the most likely conformations. We found several possible conformations for the SARS-CoV-2 pseudoknot, all having an extended stem 3 but with different packing of stems 1 and 2. Several conformations featured rarely-seen threading of a single strand through junctions formed between two helices. These structural models may help interpret future experiments and support efforts to discover ligands inhibiting −1 PRF in SARS-CoV-2. |
format | Online Article Text |
id | pubmed-7845960 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-78459602021-02-04 Modeling the structure of the frameshift-stimulatory pseudoknot in SARS-CoV-2 reveals multiple possible conformers Omar, Sara Ibrahim Zhao, Meng Sekar, Rohith Vedhthaanth Moghadam, Sahar Arbabi Tuszynski, Jack A. Woodside, Michael T. PLoS Comput Biol Research Article The coronavirus causing the COVID-19 pandemic, SARS-CoV-2, uses −1 programmed ribosomal frameshifting (−1 PRF) to control the relative expression of viral proteins. As modulating −1 PRF can inhibit viral replication, the RNA pseudoknot stimulating −1 PRF may be a fruitful target for therapeutics treating COVID-19. We modeled the unusual 3-stem structure of the stimulatory pseudoknot of SARS-CoV-2 computationally, using multiple blind structural prediction tools followed by μs-long molecular dynamics simulations. The results were compared for consistency with nuclease-protection assays and single-molecule force spectroscopy measurements of the SARS-CoV-1 pseudoknot, to determine the most likely conformations. We found several possible conformations for the SARS-CoV-2 pseudoknot, all having an extended stem 3 but with different packing of stems 1 and 2. Several conformations featured rarely-seen threading of a single strand through junctions formed between two helices. These structural models may help interpret future experiments and support efforts to discover ligands inhibiting −1 PRF in SARS-CoV-2. Public Library of Science 2021-01-19 /pmc/articles/PMC7845960/ /pubmed/33465066 http://dx.doi.org/10.1371/journal.pcbi.1008603 Text en © 2021 Omar et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Omar, Sara Ibrahim Zhao, Meng Sekar, Rohith Vedhthaanth Moghadam, Sahar Arbabi Tuszynski, Jack A. Woodside, Michael T. Modeling the structure of the frameshift-stimulatory pseudoknot in SARS-CoV-2 reveals multiple possible conformers |
title | Modeling the structure of the frameshift-stimulatory pseudoknot in SARS-CoV-2 reveals multiple possible conformers |
title_full | Modeling the structure of the frameshift-stimulatory pseudoknot in SARS-CoV-2 reveals multiple possible conformers |
title_fullStr | Modeling the structure of the frameshift-stimulatory pseudoknot in SARS-CoV-2 reveals multiple possible conformers |
title_full_unstemmed | Modeling the structure of the frameshift-stimulatory pseudoknot in SARS-CoV-2 reveals multiple possible conformers |
title_short | Modeling the structure of the frameshift-stimulatory pseudoknot in SARS-CoV-2 reveals multiple possible conformers |
title_sort | modeling the structure of the frameshift-stimulatory pseudoknot in sars-cov-2 reveals multiple possible conformers |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7845960/ https://www.ncbi.nlm.nih.gov/pubmed/33465066 http://dx.doi.org/10.1371/journal.pcbi.1008603 |
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