Zahran Mai, Sevim Bayrak Cigdem, Elmetwaly Shereef, Schlick Tamar
Biological Sciences Department, New York City College of Technology, City University of New York, Brooklyn, NY 11201, USA.
Department of Chemistry, New York University, New York, NY 10003, USA.
Nucleic Acids Res. 2015 Oct 30;43(19):9474-88. doi: 10.1093/nar/gkv823. Epub 2015 Aug 24.
To address many challenges in RNA structure/function prediction, the characterization of RNA's modular architectural units is required. Using the RNA-As-Graphs (RAG) database, we have previously explored the existence of secondary structure (2D) submotifs within larger RNA structures. Here we present RAG-3D-a dataset of RNA tertiary (3D) structures and substructures plus a web-based search tool-designed to exploit graph representations of RNAs for the goal of searching for similar 3D structural fragments. The objects in RAG-3D consist of 3D structures translated into 3D graphs, cataloged based on the connectivity between their secondary structure elements. Each graph is additionally described in terms of its subgraph building blocks. The RAG-3D search tool then compares a query RNA 3D structure to those in the database to obtain structurally similar structures and substructures. This comparison reveals conserved 3D RNA features and thus may suggest functional connections. Though RNA search programs based on similarity in sequence, 2D, and/or 3D structural elements are available, our graph-based search tool may be advantageous for illuminating similarities that are not obvious; using motifs rather than sequence space also reduces search times considerably. Ultimately, such substructuring could be useful for RNA 3D structure prediction, structure/function inference and inverse folding.
为应对RNA结构/功能预测中的诸多挑战,需要对RNA的模块化结构单元进行表征。利用RNA-As-Graphs(RAG)数据库,我们之前探索了较大RNA结构中二级结构(2D)子基序的存在情况。在此,我们展示RAG-3D——一个RNA三级(3D)结构和子结构的数据集以及一个基于网络的搜索工具,该工具旨在利用RNA的图形表示来搜索相似的3D结构片段。RAG-3D中的对象由转换为3D图形的3D结构组成,根据其二级结构元素之间的连通性进行编目。每个图形还根据其子图构建块进行描述。然后,RAG-3D搜索工具将查询的RNA 3D结构与数据库中的结构进行比较,以获得结构相似的结构和子结构。这种比较揭示了保守的3D RNA特征,因此可能暗示功能联系。尽管基于序列、2D和/或3D结构元素相似性的RNA搜索程序是可用的,但我们基于图形的搜索工具可能有利于揭示不明显的相似性;使用基序而不是序列空间也会大大减少搜索时间。最终,这种子结构划分对于RNA 3D结构预测、结构/功能推断和反向折叠可能是有用的。