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RNAmute:RNA二级结构突变分析工具。

RNAmute: RNA secondary structure mutation analysis tool.

作者信息

Churkin Alexander, Barash Danny

机构信息

Department of Computer Science, Ben-Gurion University, 84105 Beer Sheva, Israel.

出版信息

BMC Bioinformatics. 2006 Apr 25;7:221. doi: 10.1186/1471-2105-7-221.

DOI:10.1186/1471-2105-7-221
PMID:16638137
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1489952/
Abstract

BACKGROUND

RNAMute is an interactive Java application that calculates the secondary structure of all single point mutations, given an RNA sequence, and organizes them into categories according to their similarity with respect to the wild type predicted structure. The secondary structure predictions are performed using the Vienna RNA package. Several alternatives are used for the categorization of single point mutations: Vienna's RNAdistance based on dot-bracket representation, as well as tree edit distance and second eigenvalue of the Laplacian matrix based on Shapiro's coarse grain tree graph representation.

RESULTS

Selecting a category in each one of the processed tables lists all single point mutations belonging to that category. Selecting a mutation displays a graphical drawing of the single point mutation and the wild type, and includes basic information such as associated energies, representations and distances. RNAMute can be used successfully with very little previous experience and without choosing any parameter value alongside the initial RNA sequence. The package runs under LINUX operating system.

CONCLUSION

RNAMute is a user friendly tool that can be used to predict single point mutations leading to conformational rearrangements in the secondary structure of RNAs. In several cases of substantial interest, notably in virology, a point mutation may lead to a loss of important functionality such as the RNA virus replication and translation initiation because of a conformational rearrangement in the secondary structure.

摘要

背景

RNAMute是一个交互式Java应用程序,它能根据给定的RNA序列计算所有单点突变的二级结构,并根据它们与野生型预测结构的相似性将其分类。二级结构预测使用维也纳RNA包进行。单点突变的分类使用了几种方法:基于点括号表示法的维也纳RNAdistance,以及基于夏皮罗粗粒度树图表示法的树编辑距离和拉普拉斯矩阵的第二特征值。

结果

在每个处理过的表格中选择一个类别会列出属于该类别的所有单点突变。选择一个突变会显示该单点突变和野生型的图形化绘图,并包括相关能量、表示法和距离等基本信息。几乎无需任何前期经验,也无需在初始RNA序列之外选择任何参数值,就能成功使用RNAMute。该软件包在LINUX操作系统下运行。

结论

RNAMute是一个用户友好的工具,可用于预测导致RNA二级结构构象重排的单点突变。在一些备受关注的情况下,尤其是在病毒学领域,由于二级结构的构象重排,一个点突变可能导致重要功能丧失,如RNA病毒的复制和翻译起始。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc5/1489952/9f736467a76a/1471-2105-7-221-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc5/1489952/c72baa66189c/1471-2105-7-221-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc5/1489952/9a0f374afe22/1471-2105-7-221-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc5/1489952/aeb56e2368f5/1471-2105-7-221-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc5/1489952/bc29c1154fe6/1471-2105-7-221-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc5/1489952/9f736467a76a/1471-2105-7-221-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc5/1489952/c72baa66189c/1471-2105-7-221-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc5/1489952/9a0f374afe22/1471-2105-7-221-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc5/1489952/aeb56e2368f5/1471-2105-7-221-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc5/1489952/bc29c1154fe6/1471-2105-7-221-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc5/1489952/9f736467a76a/1471-2105-7-221-5.jpg

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