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RNAsmc: A integrated tool for comparing RNA secondary structure and evaluating allosteric effects
RNA structure plays a crucial role in gene regulation, in RNA stability and the essential biological processes. RNA secondary structure (RSS) motifs are the basic building blocks for investigating the biological mechanisms of structure. Here, we present a strategy for structural motif-based dynamic...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876829/ https://www.ncbi.nlm.nih.gov/pubmed/36733704 http://dx.doi.org/10.1016/j.csbj.2023.01.007 |
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author | Wang, Hong Lu, Xiaoyan Zheng, Hewei Wang, Wencan Zhang, Guosi Wang, Siyu Lin, Peng Zhuang, Youyuan Chen, Chong Chen, Qi Qu, Jia Xu, Liangde |
author_facet | Wang, Hong Lu, Xiaoyan Zheng, Hewei Wang, Wencan Zhang, Guosi Wang, Siyu Lin, Peng Zhuang, Youyuan Chen, Chong Chen, Qi Qu, Jia Xu, Liangde |
author_sort | Wang, Hong |
collection | PubMed |
description | RNA structure plays a crucial role in gene regulation, in RNA stability and the essential biological processes. RNA secondary structure (RSS) motifs are the basic building blocks for investigating the biological mechanisms of structure. Here, we present a strategy for structural motif-based dynamic alignment, namely, RNA secondary-structural motif-comparing (RNAsmc), to identify structural motifs and quantitatively evaluate their underlying molecular functions. RNAsmc also has strong robustness to sequence length, folding protocol and RNA structural profile by chemical probing. Notably, it is also applicable to quantify structural variation in special RNA editing events (SNVs or SNPs, fragment insertion or deletion, etc.). The findings indicate that RNAsmc can uncover the heterogeneity of RNA secondary structure and score for similarities among components, which provides an impetus to cluster RNA families and evaluate allosteric effects. We find that RNAsmc exhibits remarkable detection efficiency for experimentally-derived RiboSNitches. Finally, the pipeline was assembled into an R software package to serve as an automated toolkit to explore, align, and cluster RSS. It is freely available for download at https://CRAN.R-project.org/package=RNAsmc. |
format | Online Article Text |
id | pubmed-9876829 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-98768292023-02-01 RNAsmc: A integrated tool for comparing RNA secondary structure and evaluating allosteric effects Wang, Hong Lu, Xiaoyan Zheng, Hewei Wang, Wencan Zhang, Guosi Wang, Siyu Lin, Peng Zhuang, Youyuan Chen, Chong Chen, Qi Qu, Jia Xu, Liangde Comput Struct Biotechnol J Research Article RNA structure plays a crucial role in gene regulation, in RNA stability and the essential biological processes. RNA secondary structure (RSS) motifs are the basic building blocks for investigating the biological mechanisms of structure. Here, we present a strategy for structural motif-based dynamic alignment, namely, RNA secondary-structural motif-comparing (RNAsmc), to identify structural motifs and quantitatively evaluate their underlying molecular functions. RNAsmc also has strong robustness to sequence length, folding protocol and RNA structural profile by chemical probing. Notably, it is also applicable to quantify structural variation in special RNA editing events (SNVs or SNPs, fragment insertion or deletion, etc.). The findings indicate that RNAsmc can uncover the heterogeneity of RNA secondary structure and score for similarities among components, which provides an impetus to cluster RNA families and evaluate allosteric effects. We find that RNAsmc exhibits remarkable detection efficiency for experimentally-derived RiboSNitches. Finally, the pipeline was assembled into an R software package to serve as an automated toolkit to explore, align, and cluster RSS. It is freely available for download at https://CRAN.R-project.org/package=RNAsmc. Research Network of Computational and Structural Biotechnology 2023-01-09 /pmc/articles/PMC9876829/ /pubmed/36733704 http://dx.doi.org/10.1016/j.csbj.2023.01.007 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Wang, Hong Lu, Xiaoyan Zheng, Hewei Wang, Wencan Zhang, Guosi Wang, Siyu Lin, Peng Zhuang, Youyuan Chen, Chong Chen, Qi Qu, Jia Xu, Liangde RNAsmc: A integrated tool for comparing RNA secondary structure and evaluating allosteric effects |
title | RNAsmc: A integrated tool for comparing RNA secondary structure and evaluating allosteric effects |
title_full | RNAsmc: A integrated tool for comparing RNA secondary structure and evaluating allosteric effects |
title_fullStr | RNAsmc: A integrated tool for comparing RNA secondary structure and evaluating allosteric effects |
title_full_unstemmed | RNAsmc: A integrated tool for comparing RNA secondary structure and evaluating allosteric effects |
title_short | RNAsmc: A integrated tool for comparing RNA secondary structure and evaluating allosteric effects |
title_sort | rnasmc: a integrated tool for comparing rna secondary structure and evaluating allosteric effects |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876829/ https://www.ncbi.nlm.nih.gov/pubmed/36733704 http://dx.doi.org/10.1016/j.csbj.2023.01.007 |
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