Suppr超能文献

基于二级结构信息预测 RNA 三级结构的前景。

Prospects for tertiary structure prediction of RNA based on secondary structure information.

机构信息

Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST), 2-4-7 Aomi, Koto-ku, Tokyo 135-0064, Japan.

出版信息

J Chem Inf Model. 2012 Feb 27;52(2):557-67. doi: 10.1021/ci2003413. Epub 2012 Jan 26.

Abstract

We developed a method, called RNA Assembler using Secondary Structure Information Effectively (RASSIE), for predicting RNA tertiary structures using known secondary structure information. We attempted a fragment assembly-based method that uses a secondary structure-based fragment library. For several typical target structures such as stem-loops, bulge-loops, and 2-way junctions, our method provided numerous good quality candidate structures in less computational time than previously proposed methods. By using a high-resolution potential energy function, we were able to select good predicted structures from candidate structures. This method of efficient conformational search and detailed structure evaluation using high-resolution potential is potentially useful for the tertiary structure prediction of RNA.

摘要

我们开发了一种名为 RNA Assembler using Secondary Structure Information Effectively (RASSIE) 的方法,用于利用已知的二级结构信息预测 RNA 的三级结构。我们尝试了一种基于片段组装的方法,该方法使用基于二级结构的片段库。对于一些典型的靶结构,如茎环、突环和 2 向连接,我们的方法在比以前提出的方法更少的计算时间内提供了许多高质量的候选结构。通过使用高分辨率的势能函数,我们能够从候选结构中选择出良好的预测结构。这种使用高分辨率势能进行高效构象搜索和详细结构评估的方法,对于 RNA 的三级结构预测可能是有用的。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验