Literature DB >> 24753415

A novel approach to represent and compare RNA secondary structures.

Eugenio Mattei1, Gabriele Ausiello1, Fabrizio Ferrè2, Manuela Helmer-Citterich1.   

Abstract

Structural information is crucial in ribonucleic acid (RNA) analysis and functional annotation; nevertheless, how to include such structural data is still a debated problem. Dot-bracket notation is the most common and simple representation for RNA secondary structures but its simplicity leads also to ambiguity requiring further processing steps to dissolve. Here we present BEAR (Brand nEw Alphabet for RNA), a new context-aware structural encoding represented by a string of characters. Each character in BEAR encodes for a specific secondary structure element (loop, stem, bulge and internal loop) with specific length. Furthermore, exploiting this informative and yet simple encoding in multiple alignments of related RNAs, we captured how much structural variation is tolerated in RNA families and convert it into transition rates among secondary structure elements. This allowed us to compute a substitution matrix for secondary structure elements called MBR (Matrix of BEAR-encoded RNA secondary structures), of which we tested the ability in aligning RNA secondary structures. We propose BEAR and the MBR as powerful resources for the RNA secondary structure analysis, comparison and classification, motif finding and phylogeny.
© The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2014        PMID: 24753415      PMCID: PMC4041456          DOI: 10.1093/nar/gku283

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  42 in total

1.  RNAMotif, an RNA secondary structure definition and search algorithm.

Authors:  T J Macke; D J Ecker; R R Gutell; D Gautheret; D A Case; R Sampath
Journal:  Nucleic Acids Res       Date:  2001-11-15       Impact factor: 16.971

Review 2.  RNA regulation: a new genetics?

Authors:  John S Mattick
Journal:  Nat Rev Genet       Date:  2004-04       Impact factor: 53.242

3.  Integrative annotation of human large intergenic noncoding RNAs reveals global properties and specific subclasses.

Authors:  Moran N Cabili; Cole Trapnell; Loyal Goff; Magdalena Koziol; Barbara Tazon-Vega; Aviv Regev; John L Rinn
Journal:  Genes Dev       Date:  2011-09-02       Impact factor: 11.361

4.  Targeted RNA sequencing reveals the deep complexity of the human transcriptome.

Authors:  Tim R Mercer; Daniel J Gerhardt; Marcel E Dinger; Joanna Crawford; Cole Trapnell; Jeffrey A Jeddeloh; John S Mattick; John L Rinn
Journal:  Nat Biotechnol       Date:  2011-11-13       Impact factor: 54.908

5.  RNASTAR: an RNA STructural Alignment Repository that provides insight into the evolution of natural and artificial RNAs.

Authors:  Jeremy Widmann; Jesse Stombaugh; Daniel McDonald; Jana Chocholousova; Paul Gardner; Matthew K Iyer; Zongzhi Liu; Catherine A Lozupone; John Quinn; Sandra Smit; Shandy Wikman; Jesse R R Zaneveld; Rob Knight
Journal:  RNA       Date:  2012-05-29       Impact factor: 4.942

6.  Transcripts with in silico predicted RNA structure are enriched everywhere in the mouse brain.

Authors:  Stefan E Seemann; Susan M Sunkin; Michael J Hawrylycz; Walter L Ruzzo; Jan Gorodkin
Journal:  BMC Genomics       Date:  2012-05-31       Impact factor: 3.969

7.  Global or local? Predicting secondary structure and accessibility in mRNAs.

Authors:  Sita J Lange; Daniel Maticzka; Mathias Möhl; Joshua N Gagnon; Chris M Brown; Rolf Backofen
Journal:  Nucleic Acids Res       Date:  2012-02-28       Impact factor: 16.971

8.  Inferring noncoding RNA families and classes by means of genome-scale structure-based clustering.

Authors:  Sebastian Will; Kristin Reiche; Ivo L Hofacker; Peter F Stadler; Rolf Backofen
Journal:  PLoS Comput Biol       Date:  2007-02-22       Impact factor: 4.475

9.  RNAspa: a shortest path approach for comparative prediction of the secondary structure of ncRNA molecules.

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Journal:  BMC Bioinformatics       Date:  2007-10-01       Impact factor: 3.169

10.  Protein structure search and local structure characterization.

Authors:  Shih-Yen Ku; Yuh-Jyh Hu
Journal:  BMC Bioinformatics       Date:  2008-08-22       Impact factor: 3.169

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  18 in total

1.  Motif Discovery from CLIP Experiments.

Authors:  Marco Pietrosanto; Gabriele Ausiello; Manuela Helmer-Citterich
Journal:  Methods Mol Biol       Date:  2021

2.  A novel method for the identification of conserved structural patterns in RNA: From small scale to high-throughput applications.

Authors:  Marco Pietrosanto; Eugenio Mattei; Manuela Helmer-Citterich; Fabrizio Ferrè
Journal:  Nucleic Acids Res       Date:  2016-08-31       Impact factor: 16.971

3.  Discovering sequence and structure landscapes in RNA interaction motifs.

Authors:  Marta Adinolfi; Marco Pietrosanto; Luca Parca; Gabriele Ausiello; Fabrizio Ferrè; Manuela Helmer-Citterich
Journal:  Nucleic Acids Res       Date:  2019-06-04       Impact factor: 16.971

4.  RNALigands: a database and web server for RNA-ligand interactions.

Authors:  Saisai Sun; Jianyi Yang; Zhaolei Zhang
Journal:  RNA       Date:  2021-11-03       Impact factor: 4.942

5.  BRIO: a web server for RNA sequence and structure motif scan.

Authors:  Andrea Guarracino; Gerardo Pepe; Francesco Ballesio; Marta Adinolfi; Marco Pietrosanto; Elisa Sangiovanni; Ilio Vitale; Gabriele Ausiello; Manuela Helmer-Citterich
Journal:  Nucleic Acids Res       Date:  2021-07-02       Impact factor: 16.971

6.  Web-Beagle: a web server for the alignment of RNA secondary structures.

Authors:  Eugenio Mattei; Marco Pietrosanto; Fabrizio Ferrè; Manuela Helmer-Citterich
Journal:  Nucleic Acids Res       Date:  2015-05-14       Impact factor: 16.971

Review 7.  Revealing protein-lncRNA interaction.

Authors:  Fabrizio Ferrè; Alessio Colantoni; Manuela Helmer-Citterich
Journal:  Brief Bioinform       Date:  2015-06-02       Impact factor: 11.622

8.  RNA-TVcurve: a Web server for RNA secondary structure comparison based on a multi-scale similarity of its triple vector curve representation.

Authors:  Ying Li; Xiaohu Shi; Yanchun Liang; Juan Xie; Yu Zhang; Qin Ma
Journal:  BMC Bioinformatics       Date:  2017-01-21       Impact factor: 3.169

9.  RPI-Bind: a structure-based method for accurate identification of RNA-protein binding sites.

Authors:  Jiesi Luo; Liang Liu; Suresh Venkateswaran; Qianqian Song; Xiaobo Zhou
Journal:  Sci Rep       Date:  2017-04-04       Impact factor: 4.379

10.  Identification of piRNA Binding Sites Reveals the Argonaute Regulatory Landscape of the C. elegans Germline.

Authors:  En-Zhi Shen; Hao Chen; Ahmet R Ozturk; Shikui Tu; Masaki Shirayama; Wen Tang; Yue-He Ding; Si-Yuan Dai; Zhiping Weng; Craig C Mello
Journal:  Cell       Date:  2018-02-15       Impact factor: 41.582

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