Literature DB >> 16638137

RNAmute: RNA secondary structure mutation analysis tool.

Alexander Churkin1, Danny Barash.   

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.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16638137      PMCID: PMC1489952          DOI: 10.1186/1471-2105-7-221

Source DB:  PubMed          Journal:  BMC Bioinformatics        ISSN: 1471-2105            Impact factor:   3.169


  13 in total

1.  Crystal structure of the ribosome at 5.5 A resolution.

Authors:  M M Yusupov; G Z Yusupova; A Baucom; K Lieberman; T N Earnest; J H Cate; H F Noller
Journal:  Science       Date:  2001-03-29       Impact factor: 47.728

2.  Calculating nucleic acid secondary structure.

Authors:  M Zuker
Journal:  Curr Opin Struct Biol       Date:  2000-06       Impact factor: 6.809

3.  Deleterious mutation prediction in the secondary structure of RNAs.

Authors:  Danny Barash
Journal:  Nucleic Acids Res       Date:  2003-11-15       Impact factor: 16.971

4.  Mfold web server for nucleic acid folding and hybridization prediction.

Authors:  Michael Zuker
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

5.  Vienna RNA secondary structure server.

Authors:  Ivo L Hofacker
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

6.  In vivo selection of spectinomycin-binding RNAs.

Authors:  Jeff M Zimmerman; L James Maher
Journal:  Nucleic Acids Res       Date:  2002-12-15       Impact factor: 16.971

7.  An algorithm for comparing multiple RNA secondary structures.

Authors:  B A Shapiro
Journal:  Comput Appl Biosci       Date:  1988-08

8.  Detection of common motifs in RNA secondary structures.

Authors:  H Margalit; B A Shapiro; A B Oppenheim; J V Maizel
Journal:  Nucleic Acids Res       Date:  1989-06-26       Impact factor: 16.971

9.  Tree graphs of RNA secondary structures and their comparisons.

Authors:  S Y Le; R Nussinov; J V Maizel
Journal:  Comput Biomed Res       Date:  1989-10

10.  Alterations to both the primary and predicted secondary structure of stem-loop IIIc of the hepatitis C virus 1b 5' untranslated region (5'UTR) lead to mutants severely defective in translation which cannot be complemented in trans by the wild-type 5'UTR sequence.

Authors:  S Tang; A J Collier; R M Elliott
Journal:  J Virol       Date:  1999-03       Impact factor: 5.103

View more
  18 in total

Review 1.  Computational methods in noncoding RNA research.

Authors:  Ariane Machado-Lima; Hernando A del Portillo; Alan Mitchell Durham
Journal:  J Math Biol       Date:  2007-09-04       Impact factor: 2.259

2.  Identification and analysis of RNA structural disruptions induced by single nucleotide variants using Riprap and RiboSNitchDB.

Authors:  Jianan Lin; Yang Chen; Yuping Zhang; Zhengqing Ouyang
Journal:  NAR Genom Bioinform       Date:  2020-08-14

3.  Detecting riboSNitches with RNA folding algorithms: a genome-wide benchmark.

Authors:  Meredith Corley; Amanda Solem; Kun Qu; Howard Y Chang; Alain Laederach
Journal:  Nucleic Acids Res       Date:  2015-01-23       Impact factor: 16.971

4.  Differential regulation and function of 5'-untranslated GR-exon 1 transcripts.

Authors:  Yvonne Bockmühl; Christopher A Murgatroyd; Arleta Kuczynska; Ian M Adcock; Osborne F X Almeida; Dietmar Spengler
Journal:  Mol Endocrinol       Date:  2011-04-28

5.  corRna: a web server for predicting multiple-point deleterious mutations in structural RNAs.

Authors:  Edmund Lam; Alfred Kam; Jérôme Waldispühl
Journal:  Nucleic Acids Res       Date:  2011-05-19       Impact factor: 16.971

6.  The RNAmute web server for the mutational analysis of RNA secondary structures.

Authors:  Alexander Churkin; Idan Gabdank; Danny Barash
Journal:  Nucleic Acids Res       Date:  2011-04-07       Impact factor: 16.971

7.  In silico whole-genome screening for cancer-related single-nucleotide polymorphisms located in human mRNA untranslated regions.

Authors:  Abdel Aouacheria; Vincent Navratil; Ricardo López-Pérez; Norma C Gutiérrez; Alexander Churkin; Danny Barash; Dominique Mouchiroud; Christian Gautier
Journal:  BMC Genomics       Date:  2007-01-03       Impact factor: 3.969

8.  An image processing approach to computing distances between RNA secondary structures dot plots.

Authors:  Tor Ivry; Shahar Michal; Assaf Avihoo; Guillermo Sapiro; Danny Barash
Journal:  Algorithms Mol Biol       Date:  2009-02-09       Impact factor: 1.405

9.  Efficient procedures for the numerical simulation of mid-size RNA kinetics.

Authors:  Iddo Aviram; Ilia Veltman; Alexander Churkin; Danny Barash
Journal:  Algorithms Mol Biol       Date:  2012-09-07       Impact factor: 1.405

10.  Sensitive measurement of single-nucleotide polymorphism-induced changes of RNA conformation: application to disease studies.

Authors:  Raheleh Salari; Chava Kimchi-Sarfaty; Michael M Gottesman; Teresa M Przytycka
Journal:  Nucleic Acids Res       Date:  2012-11-03       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.