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Novel Approach to Analyzing MFE of Noncoding RNA Sequences

Genomic studies have become noncoding RNA (ncRNA) centric after the study of different genomes provided enormous information on ncRNA over the past decades. The function of ncRNA is decided by its secondary structure, and across organisms, the secondary structure is more conserved than the sequence...

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Detalles Bibliográficos
Autores principales: George, Tina P., Thomas, Tessamma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5029481/
https://www.ncbi.nlm.nih.gov/pubmed/27695341
http://dx.doi.org/10.4137/GEI.S39995
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author George, Tina P.
Thomas, Tessamma
author_facet George, Tina P.
Thomas, Tessamma
author_sort George, Tina P.
collection PubMed
description Genomic studies have become noncoding RNA (ncRNA) centric after the study of different genomes provided enormous information on ncRNA over the past decades. The function of ncRNA is decided by its secondary structure, and across organisms, the secondary structure is more conserved than the sequence itself. In this study, the optimal secondary structure or the minimum free energy (MFE) structure of ncRNA was found based on the thermodynamic nearest neighbor model. MFE of over 2600 ncRNA sequences was analyzed in view of its signal properties. Mathematical models linking MFE to the signal properties were found for each of the four classes of ncRNA analyzed. MFE values computed with the proposed models were in concordance with those obtained with the standard web servers. A total of 95% of the sequences analyzed had deviation of MFE values within ±15% relative to those obtained from standard web servers.
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spelling pubmed-50294812016-09-30 Novel Approach to Analyzing MFE of Noncoding RNA Sequences George, Tina P. Thomas, Tessamma Genomics Insights Original Research Genomic studies have become noncoding RNA (ncRNA) centric after the study of different genomes provided enormous information on ncRNA over the past decades. The function of ncRNA is decided by its secondary structure, and across organisms, the secondary structure is more conserved than the sequence itself. In this study, the optimal secondary structure or the minimum free energy (MFE) structure of ncRNA was found based on the thermodynamic nearest neighbor model. MFE of over 2600 ncRNA sequences was analyzed in view of its signal properties. Mathematical models linking MFE to the signal properties were found for each of the four classes of ncRNA analyzed. MFE values computed with the proposed models were in concordance with those obtained with the standard web servers. A total of 95% of the sequences analyzed had deviation of MFE values within ±15% relative to those obtained from standard web servers. Libertas Academica 2016-09-18 /pmc/articles/PMC5029481/ /pubmed/27695341 http://dx.doi.org/10.4137/GEI.S39995 Text en © 2016 the author(s), publisher and licensee Libertas Academica Ltd. This is an open-access article distributed under the terms of the Creative Commons CC-BY-NC 3.0 License.
spellingShingle Original Research
George, Tina P.
Thomas, Tessamma
Novel Approach to Analyzing MFE of Noncoding RNA Sequences
title Novel Approach to Analyzing MFE of Noncoding RNA Sequences
title_full Novel Approach to Analyzing MFE of Noncoding RNA Sequences
title_fullStr Novel Approach to Analyzing MFE of Noncoding RNA Sequences
title_full_unstemmed Novel Approach to Analyzing MFE of Noncoding RNA Sequences
title_short Novel Approach to Analyzing MFE of Noncoding RNA Sequences
title_sort novel approach to analyzing mfe of noncoding rna sequences
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5029481/
https://www.ncbi.nlm.nih.gov/pubmed/27695341
http://dx.doi.org/10.4137/GEI.S39995
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