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RNAsmc:一种用于比较RNA二级结构和评估变构效应的综合工具。

RNAsmc: A integrated tool for comparing RNA secondary structure and evaluating allosteric effects.

作者信息

Wang Hong, Lu Xiaoyan, Zheng Hewei, Wang Wencan, Zhang Guosi, Wang Siyu, Lin Peng, Zhuang Youyuan, Chen Chong, Chen Qi, Qu Jia, Xu Liangde

机构信息

National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China.

State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China.

出版信息

Comput Struct Biotechnol J. 2023 Jan 9;21:965-973. doi: 10.1016/j.csbj.2023.01.007. eCollection 2023.

Abstract

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.

摘要

RNA结构在基因调控、RNA稳定性及重要生物学过程中起着关键作用。RNA二级结构(RSS)基序是研究结构生物学机制的基本构建单元。在此,我们提出一种基于结构基序的动态比对策略,即RNA二级结构基序比较(RNAsmc),以识别结构基序并定量评估其潜在分子功能。RNAsmc对序列长度、折叠方案及通过化学探测得到的RNA结构特征也具有很强的稳健性。值得注意的是,它还适用于量化特殊RNA编辑事件(单核苷酸变异或单核苷酸多态性、片段插入或缺失等)中的结构变异。研究结果表明,RNAsmc能够揭示RNA二级结构的异质性并对各组分间的相似性进行评分,这为RNA家族聚类和变构效应评估提供了动力。我们发现RNAsmc对实验衍生的核糖开关表现出显著的检测效率。最后,该流程被整合到一个R软件包中,作为一个自动化工具包用于探索、比对和聚类RSS。可在https://CRAN.R-project.org/package=RNAsmc上免费下载。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9e9/9876829/0d88f45719d6/ga1.jpg

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