• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

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

使用RNAstructure软件包预测保守的RNA结构。

Using the RNAstructure Software Package to Predict Conserved RNA Structures.

作者信息

Mathews David H

机构信息

Department of Biochemistry & Biophysics and Center for RNA Biology, University of Rochester Medical Center, Rochester, New York.

出版信息

Curr Protoc Bioinformatics. 2014 Jun 17;46:12.4.1-12.4.22. doi: 10.1002/0471250953.bi1204s46.

DOI:10.1002/0471250953.bi1204s46
PMID:24939126
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4086732/
Abstract

The structures of many non-coding RNA (ncRNA) are conserved by evolution to a greater extent than their sequences. By predicting the conserved structure of two or more homologous sequences, the accuracy of secondary structure prediction can be improved as compared to structure prediction for a single sequence. This unit provides protocols for the use of four programs in the RNAstructure suite for prediction of conserved structures, Multilign, TurboFold, Dynalign, and PARTS. These programs can be run via Web servers, on the command line, or with graphical interfaces.

摘要

许多非编码RNA(ncRNA)的结构在进化过程中比其序列具有更高的保守性。通过预测两个或多个同源序列的保守结构,与单个序列的结构预测相比,二级结构预测的准确性可以得到提高。本单元提供了RNAstructure套件中四个程序用于预测保守结构的协议,即Multilign、TurboFold、Dynalign和PARTS。这些程序可以通过网络服务器、命令行或图形界面运行。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/6cad46beca85/nihms-600514-f0013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/ff52f88fdb27/nihms-600514-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/425a53fcabb1/nihms-600514-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/69d2df155e65/nihms-600514-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/69478a1a5b2f/nihms-600514-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/2aaf185663ac/nihms-600514-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/50267269ee1c/nihms-600514-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/0d1a94d21bc7/nihms-600514-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/d8d69a3ab6f7/nihms-600514-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/e32b5a998107/nihms-600514-f0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/8169fd5c5249/nihms-600514-f0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/fa57e6d05d9f/nihms-600514-f0011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/ed0a1fa0f5ab/nihms-600514-f0012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/6cad46beca85/nihms-600514-f0013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/ff52f88fdb27/nihms-600514-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/425a53fcabb1/nihms-600514-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/69d2df155e65/nihms-600514-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/69478a1a5b2f/nihms-600514-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/2aaf185663ac/nihms-600514-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/50267269ee1c/nihms-600514-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/0d1a94d21bc7/nihms-600514-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/d8d69a3ab6f7/nihms-600514-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/e32b5a998107/nihms-600514-f0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/8169fd5c5249/nihms-600514-f0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/fa57e6d05d9f/nihms-600514-f0011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/ed0a1fa0f5ab/nihms-600514-f0012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9705/4086732/6cad46beca85/nihms-600514-f0013.jpg

相似文献

1
Using the RNAstructure Software Package to Predict Conserved RNA Structures.使用RNAstructure软件包预测保守的RNA结构。
Curr Protoc Bioinformatics. 2014 Jun 17;46:12.4.1-12.4.22. doi: 10.1002/0471250953.bi1204s46.
2
Prediction of Secondary Structures Conserved in Multiple RNA Sequences.多个RNA序列中保守二级结构的预测
Methods Mol Biol. 2016;1490:35-50. doi: 10.1007/978-1-4939-6433-8_3.
3
Secondary Structure Prediction of Single Sequences Using RNAstructure.使用RNAstructure对单序列进行二级结构预测。
Methods Mol Biol. 2016;1490:15-34. doi: 10.1007/978-1-4939-6433-8_2.
4
RNA Secondary Structure Analysis Using RNAstructure.使用RNAstructure进行RNA二级结构分析。
Curr Protoc Bioinformatics. 2014 Jun 17;46:12.6.1-12.6.25. doi: 10.1002/0471250953.bi1206s46.
5
TurboFold: iterative probabilistic estimation of secondary structures for multiple RNA sequences.TurboFold:用于多个 RNA 序列的二级结构的迭代概率估计。
BMC Bioinformatics. 2011 Apr 20;12:108. doi: 10.1186/1471-2105-12-108.
6
RNAstructure: software for RNA secondary structure prediction and analysis.RNAstructure:用于 RNA 二级结构预测和分析的软件。
BMC Bioinformatics. 2010 Mar 15;11:129. doi: 10.1186/1471-2105-11-129.
7
Multilign: an algorithm to predict secondary structures conserved in multiple RNA sequences.Multilign:一种预测多个 RNA 序列中保守二级结构的算法。
Bioinformatics. 2011 Mar 1;27(5):626-32. doi: 10.1093/bioinformatics/btq726. Epub 2010 Dec 30.
8
RNAstructure: Web servers for RNA secondary structure prediction and analysis.RNAstructure:用于 RNA 二级结构预测和分析的网络服务器。
Nucleic Acids Res. 2013 Jul;41(Web Server issue):W471-4. doi: 10.1093/nar/gkt290. Epub 2013 Apr 24.
9
Experiment-Assisted Secondary Structure Prediction with RNAstructure.使用RNAstructure进行实验辅助二级结构预测。
Methods Mol Biol. 2016;1490:163-76. doi: 10.1007/978-1-4939-6433-8_10.
10
Estimating RNA Secondary Structure Folding Free Energy Changes with efn2.使用 efn2 估算 RNA 二级结构折叠自由能变化。
Methods Mol Biol. 2024;2726:1-13. doi: 10.1007/978-1-0716-3519-3_1.

引用本文的文献

1
The Helix-Loop-Helix motif of human EIF3A regulates translation of proliferative cellular mRNAs.人 EIF3A 的螺旋-环-螺旋基序调节增殖细胞 mRNA 的翻译。
PLoS One. 2023 Sep 28;18(9):e0292080. doi: 10.1371/journal.pone.0292080. eCollection 2023.
2
Recent advances in RNA structurome.RNA 结构组学的最新进展。
Sci China Life Sci. 2022 Jul;65(7):1285-1324. doi: 10.1007/s11427-021-2116-2. Epub 2022 Jun 14.
3
Secondary Structure of Influenza A Virus Genomic Segment 8 RNA Folded in a Cellular Environment.在细胞环境中折叠的甲型流感病毒基因组 8 段 RNA 的二级结构。
Int J Mol Sci. 2022 Feb 23;23(5):2452. doi: 10.3390/ijms23052452.
4
A programmable high-expression yeast platform responsive to user-defined signals.一种可响应用户定义信号的可编程高表达酵母平台。
Sci Adv. 2022 Feb 11;8(6):eabl5166. doi: 10.1126/sciadv.abl5166.
5
In vivo architecture of the telomerase RNA catalytic core in Trypanosoma brucei.在布鲁氏锥虫端粒酶 RNA 催化核心的体内结构。
Nucleic Acids Res. 2021 Dec 2;49(21):12445-12466. doi: 10.1093/nar/gkab1042.
6
The mitogenome of freshwater loach (Teleostei: Nemacheilidae) with phylogenetic analysis of Nemacheilidae.淡水鳅(硬骨鱼纲:条鳅科)的线粒体基因组及条鳅科系统发育分析
Ecol Evol. 2020 May 13;10(12):5990-6000. doi: 10.1002/ece3.6338. eCollection 2020 Jun.
7
Predicting RNA secondary structure via adaptive deep recurrent neural networks with energy-based filter.基于能量过滤的自适应深度递归神经网络预测 RNA 二级结构
BMC Bioinformatics. 2019 Dec 24;20(Suppl 25):684. doi: 10.1186/s12859-019-3258-7.
8
Identification of Multiple Replication Stages and Origins in the Nucleopolyhedrovirus of .鉴定. 核多角体病毒的多个复制阶段和复制起点。
Viruses. 2019 Jul 15;11(7):648. doi: 10.3390/v11070648.
9
The First Complete Mitochondrial Genome of the Flathead (Scorpaeniformes: Platycephalidae) and the Phylogenetic Relationships within Scorpaeniformes Based on Whole Mitogenomes.平头鲷(Scorpaeniformes:Platycephalidae)的首个完整线粒体基因组和基于全线粒体基因组的 Scorpaeniformes 内系统发育关系
Genes (Basel). 2019 Jul 15;10(7):533. doi: 10.3390/genes10070533.
10
Comparative Analysis of the Complete Mitochondrial Genomes for Development Application.用于开发应用的线粒体全基因组比较分析
Front Genet. 2019 Mar 6;9:651. doi: 10.3389/fgene.2018.00651. eCollection 2018.