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基于螺旋的RNA景观分区与二级结构异构体确定

Helix-Based RNA Landscape Partition and Alternative Secondary Structure Determination.

作者信息

Wang Fengfei, Sun Li-Zhen, Sun Tingting, Chang Shan, Xu Xiaojun

机构信息

Institute of Bioinformatics and Medical Engineering, School of Mathematics and Physics, Jiangsu University of Technology, Changzhou, Jiangsu 213001, China.

Department of Applied Physics, Zhejiang University of Technology, Hangzhou, Zhejiang 310023, China.

出版信息

ACS Omega. 2019 Sep 11;4(13):15407-15413. doi: 10.1021/acsomega.9b01430. eCollection 2019 Sep 24.

Abstract

RNA is a versatile macromolecule with the ability to fold into and interconvert between multiple functional conformations. The elucidation of the RNA folding landscape, especially the knowledge of alternative structures, is critical to uncover the physical mechanism of RNA functions. Here, we introduce a helix-based strategy for RNA folding landscape partition and alternative secondary structure determination. The benchmark test of 27 RNAs involving alternative stable structures shows that the model has the ability to divide the whole landscape into distinct partitions at the secondary structure level and predict the representative structures for each partition. Furthermore, the predicted structures and equilibrium populations of metastable conformations for the 2'dG-sensing riboswitch reveal the allosteric conformational switch on transcript length, which is consistent with the experimental study, indicating the importance of metastable states for RNA-based gene regulation. The model delivers a starting point for the landscape-based strategy toward the RNA folding mechanism and functions.

摘要

RNA是一种多功能的大分子,能够折叠成多种功能构象并在它们之间相互转换。阐明RNA折叠全景,尤其是对替代结构的了解,对于揭示RNA功能的物理机制至关重要。在这里,我们介绍一种基于螺旋的策略,用于RNA折叠全景划分和替代二级结构确定。对27个具有替代稳定结构的RNA进行的基准测试表明,该模型有能力在二级结构水平上将整个全景划分为不同的分区,并预测每个分区的代表性结构。此外,对2'dG感应核糖开关的亚稳态构象的预测结构和平衡群体揭示了转录本长度上的变构构象转换,这与实验研究一致,表明亚稳态对基于RNA的基因调控的重要性。该模型为基于全景的RNA折叠机制和功能研究策略提供了一个起点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f273/6761681/ac6591c15104/ao9b01430_0007.jpg

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