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ConStruct: Improved construction of RNA consensus structures

BACKGROUND: Aligning homologous non-coding RNAs (ncRNAs) correctly in terms of sequence and structure is an unresolved problem, due to both mathematical complexity and imperfect scoring functions. High quality alignments, however, are a prerequisite for most consensus structure prediction approaches...

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Autores principales: Wilm, Andreas, Linnenbrink, Kornelia, Steger, Gerhard
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2408607/
https://www.ncbi.nlm.nih.gov/pubmed/18442401
http://dx.doi.org/10.1186/1471-2105-9-219
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author Wilm, Andreas
Linnenbrink, Kornelia
Steger, Gerhard
author_facet Wilm, Andreas
Linnenbrink, Kornelia
Steger, Gerhard
author_sort Wilm, Andreas
collection PubMed
description BACKGROUND: Aligning homologous non-coding RNAs (ncRNAs) correctly in terms of sequence and structure is an unresolved problem, due to both mathematical complexity and imperfect scoring functions. High quality alignments, however, are a prerequisite for most consensus structure prediction approaches, homology searches, and tools for phylogeny inference. Automatically created ncRNA alignments often need manual corrections, yet this manual refinement is tedious and error-prone. RESULTS: We present an extended version of CONSTRUCT, a semi-automatic, graphical tool suitable for creating RNA alignments correct in terms of both consensus sequence and consensus structure. To this purpose CONSTRUCT combines sequence alignment, thermodynamic data and various measures of covariation. One important feature is that the user is guided during the alignment correction step by a consensus dotplot, which displays all thermodynamically optimal base pairs and the corresponding covariation. Once the initial alignment is corrected, optimal and suboptimal secondary structures as well as tertiary interaction can be predicted. We demonstrate CONSTRUCT's ability to guide the user in correcting an initial alignment, and show an example for optimal secondary consensus structure prediction on very hard to align SECIS elements. Moreover we use CONSTRUCT to predict tertiary interactions from sequences of the internal ribosome entry site of CrP-like viruses. In addition we show that alignments specifically designed for benchmarking can be easily be optimized using CONSTRUCT, although they share very little sequence identity. CONCLUSION: CONSTRUCT's graphical interface allows for an easy alignment correction based on and guided by predicted and known structural constraints. It combines several algorithms for prediction of secondary consensus structure and even tertiary interactions. The CONSTRUCT package can be downloaded from the URL listed in the Availability and requirements section of this article.
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spelling pubmed-24086072008-06-02 ConStruct: Improved construction of RNA consensus structures Wilm, Andreas Linnenbrink, Kornelia Steger, Gerhard BMC Bioinformatics Methodology Article BACKGROUND: Aligning homologous non-coding RNAs (ncRNAs) correctly in terms of sequence and structure is an unresolved problem, due to both mathematical complexity and imperfect scoring functions. High quality alignments, however, are a prerequisite for most consensus structure prediction approaches, homology searches, and tools for phylogeny inference. Automatically created ncRNA alignments often need manual corrections, yet this manual refinement is tedious and error-prone. RESULTS: We present an extended version of CONSTRUCT, a semi-automatic, graphical tool suitable for creating RNA alignments correct in terms of both consensus sequence and consensus structure. To this purpose CONSTRUCT combines sequence alignment, thermodynamic data and various measures of covariation. One important feature is that the user is guided during the alignment correction step by a consensus dotplot, which displays all thermodynamically optimal base pairs and the corresponding covariation. Once the initial alignment is corrected, optimal and suboptimal secondary structures as well as tertiary interaction can be predicted. We demonstrate CONSTRUCT's ability to guide the user in correcting an initial alignment, and show an example for optimal secondary consensus structure prediction on very hard to align SECIS elements. Moreover we use CONSTRUCT to predict tertiary interactions from sequences of the internal ribosome entry site of CrP-like viruses. In addition we show that alignments specifically designed for benchmarking can be easily be optimized using CONSTRUCT, although they share very little sequence identity. CONCLUSION: CONSTRUCT's graphical interface allows for an easy alignment correction based on and guided by predicted and known structural constraints. It combines several algorithms for prediction of secondary consensus structure and even tertiary interactions. The CONSTRUCT package can be downloaded from the URL listed in the Availability and requirements section of this article. BioMed Central 2008-04-28 /pmc/articles/PMC2408607/ /pubmed/18442401 http://dx.doi.org/10.1186/1471-2105-9-219 Text en Copyright © 2008 Wilm 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 Methodology Article
Wilm, Andreas
Linnenbrink, Kornelia
Steger, Gerhard
ConStruct: Improved construction of RNA consensus structures
title ConStruct: Improved construction of RNA consensus structures
title_full ConStruct: Improved construction of RNA consensus structures
title_fullStr ConStruct: Improved construction of RNA consensus structures
title_full_unstemmed ConStruct: Improved construction of RNA consensus structures
title_short ConStruct: Improved construction of RNA consensus structures
title_sort construct: improved construction of rna consensus structures
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2408607/
https://www.ncbi.nlm.nih.gov/pubmed/18442401
http://dx.doi.org/10.1186/1471-2105-9-219
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