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RNA 结构:三维结构预测的进展与评估。

RNA Structure: Advances and Assessment of 3D Structure Prediction.

机构信息

Architecture et Réactivité de l'ARN, Université de Strasbourg, Institut de Biologie Moléculaire et Cellulaire du CNRS, 67000 Strasbourg, France; email:

出版信息

Annu Rev Biophys. 2017 May 22;46:483-503. doi: 10.1146/annurev-biophys-070816-034125. Epub 2017 Mar 30.

Abstract

Biological functions of RNA molecules are dependent upon sustained specific three-dimensional (3D) structures of RNA, with or without the help of proteins. Understanding of RNA structure is frequently based on 2D structures, which describe only the Watson-Crick (WC) base pairs. Here, we hierarchically review the structural elements of RNA and how they contribute to RNA 3D structure. We focus our analysis on the non-WC base pairs and on RNA modules. Several computer programs have now been designed to predict RNA modules. We describe the RNA-Puzzles initiative, which is a community-wide, blind assessment of RNA 3D structure prediction programs to determine the capabilities and bottlenecks of current predictions. The assessment metrics used in RNA-Puzzles are briefly described. The detection of RNA 3D modules from sequence data and their automatic implementation belong to the current challenges in RNA 3D structure prediction.

摘要

RNA 分子的生物学功能取决于 RNA 的持续特定三维 (3D) 结构,无论是否有蛋白质的帮助。对 RNA 结构的理解通常基于仅描述沃森-克里克 (WC) 碱基对的 2D 结构。在这里,我们按层次结构回顾 RNA 的结构元素以及它们如何有助于 RNA 3D 结构。我们的分析重点是非 WC 碱基对和 RNA 模块。现在已经设计了几个计算机程序来预测 RNA 模块。我们描述了 RNA-Puzzles 计划,这是一个社区范围内的、针对 RNA 3D 结构预测程序的盲目评估,以确定当前预测的能力和瓶颈。RNA-Puzzles 中使用的评估指标简要描述。从序列数据中检测 RNA 3D 模块及其自动实现属于 RNA 3D 结构预测中的当前挑战。

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