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FRASS: the web-server for RNA structural comparison

BACKGROUND: The impressive increase of novel RNA structures, during the past few years, demands automated methods for structure comparison. While many algorithms handle only small motifs, few techniques, developed in recent years, (ARTS, DIAL, SARA, SARSA, and LaJolla) are available for the structur...

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Detalles Bibliográficos
Autores principales: Kirillova, Svetlana, Tosatto, Silvio CE, Carugo, Oliviero
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2902451/
https://www.ncbi.nlm.nih.gov/pubmed/20553602
http://dx.doi.org/10.1186/1471-2105-11-327
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author Kirillova, Svetlana
Tosatto, Silvio CE
Carugo, Oliviero
author_facet Kirillova, Svetlana
Tosatto, Silvio CE
Carugo, Oliviero
author_sort Kirillova, Svetlana
collection PubMed
description BACKGROUND: The impressive increase of novel RNA structures, during the past few years, demands automated methods for structure comparison. While many algorithms handle only small motifs, few techniques, developed in recent years, (ARTS, DIAL, SARA, SARSA, and LaJolla) are available for the structural comparison of large and intact RNA molecules. RESULTS: The FRASS web-server represents a RNA chain with its Gauss integrals and allows one to compare structures of RNA chains and to find similar entries in a database derived from the Protein Data Bank. We observed that FRASS scores correlate well with the ARTS and LaJolla similarity scores. Moreover, the-web server can also reproduce satisfactorily the DARTS classification of RNA 3D structures and the classification of the SCOR functions that was obtained by the SARA method. CONCLUSIONS: The FRASS web-server can be easily used to detect relationships among RNA molecules and to scan efficiently the rapidly enlarging structural databases.
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spelling pubmed-29024512010-07-13 FRASS: the web-server for RNA structural comparison Kirillova, Svetlana Tosatto, Silvio CE Carugo, Oliviero BMC Bioinformatics Software BACKGROUND: The impressive increase of novel RNA structures, during the past few years, demands automated methods for structure comparison. While many algorithms handle only small motifs, few techniques, developed in recent years, (ARTS, DIAL, SARA, SARSA, and LaJolla) are available for the structural comparison of large and intact RNA molecules. RESULTS: The FRASS web-server represents a RNA chain with its Gauss integrals and allows one to compare structures of RNA chains and to find similar entries in a database derived from the Protein Data Bank. We observed that FRASS scores correlate well with the ARTS and LaJolla similarity scores. Moreover, the-web server can also reproduce satisfactorily the DARTS classification of RNA 3D structures and the classification of the SCOR functions that was obtained by the SARA method. CONCLUSIONS: The FRASS web-server can be easily used to detect relationships among RNA molecules and to scan efficiently the rapidly enlarging structural databases. BioMed Central 2010-06-16 /pmc/articles/PMC2902451/ /pubmed/20553602 http://dx.doi.org/10.1186/1471-2105-11-327 Text en Copyright ©2010 Kirillova et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software
Kirillova, Svetlana
Tosatto, Silvio CE
Carugo, Oliviero
FRASS: the web-server for RNA structural comparison
title FRASS: the web-server for RNA structural comparison
title_full FRASS: the web-server for RNA structural comparison
title_fullStr FRASS: the web-server for RNA structural comparison
title_full_unstemmed FRASS: the web-server for RNA structural comparison
title_short FRASS: the web-server for RNA structural comparison
title_sort frass: the web-server for rna structural comparison
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2902451/
https://www.ncbi.nlm.nih.gov/pubmed/20553602
http://dx.doi.org/10.1186/1471-2105-11-327
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