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IRSS: a web-based tool for automatic layout and analysis of IRES secondary structure prediction and searching system in silico
BACKGROUND: Internal ribosomal entry sites (IRESs) provide alternative, cap-independent translation initiation sites in eukaryotic cells. IRES elements are important factors in viral genomes and are also useful tools for bi-cistronic expression vectors. Most existing RNA structure prediction program...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2698906/ https://www.ncbi.nlm.nih.gov/pubmed/19473520 http://dx.doi.org/10.1186/1471-2105-10-160 |
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author | Wu, Tzong-Yuan Hsieh, Chi-Chun Hong, Jun-Jie Chen, Chung-Yung Tsai, Yuh-Show |
author_facet | Wu, Tzong-Yuan Hsieh, Chi-Chun Hong, Jun-Jie Chen, Chung-Yung Tsai, Yuh-Show |
author_sort | Wu, Tzong-Yuan |
collection | PubMed |
description | BACKGROUND: Internal ribosomal entry sites (IRESs) provide alternative, cap-independent translation initiation sites in eukaryotic cells. IRES elements are important factors in viral genomes and are also useful tools for bi-cistronic expression vectors. Most existing RNA structure prediction programs are unable to deal with IRES elements. RESULTS: We designed an IRES search system, named IRSS, to obtain better results for IRES prediction. RNA secondary structure prediction and comparison software programs were implemented to construct our two-stage strategy for the IRSS. Two software programs formed the backbone of IRSS: the RNAL fold program, used to predict local RNA secondary structures by minimum free energy method; and the RNA Align program, used to compare predicted structures. After complete viral genome database search, the IRSS have low error rate and up to 72.3% sensitivity in appropriated parameters. CONCLUSION: IRSS is freely available at this website . In addition, all source codes, precompiled binaries, examples and documentations are downloadable for local execution. This new search approach for IRES elements will provide a useful research tool on IRES related studies. |
format | Text |
id | pubmed-2698906 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-26989062009-06-19 IRSS: a web-based tool for automatic layout and analysis of IRES secondary structure prediction and searching system in silico Wu, Tzong-Yuan Hsieh, Chi-Chun Hong, Jun-Jie Chen, Chung-Yung Tsai, Yuh-Show BMC Bioinformatics Methodology Article BACKGROUND: Internal ribosomal entry sites (IRESs) provide alternative, cap-independent translation initiation sites in eukaryotic cells. IRES elements are important factors in viral genomes and are also useful tools for bi-cistronic expression vectors. Most existing RNA structure prediction programs are unable to deal with IRES elements. RESULTS: We designed an IRES search system, named IRSS, to obtain better results for IRES prediction. RNA secondary structure prediction and comparison software programs were implemented to construct our two-stage strategy for the IRSS. Two software programs formed the backbone of IRSS: the RNAL fold program, used to predict local RNA secondary structures by minimum free energy method; and the RNA Align program, used to compare predicted structures. After complete viral genome database search, the IRSS have low error rate and up to 72.3% sensitivity in appropriated parameters. CONCLUSION: IRSS is freely available at this website . In addition, all source codes, precompiled binaries, examples and documentations are downloadable for local execution. This new search approach for IRES elements will provide a useful research tool on IRES related studies. BioMed Central 2009-05-27 /pmc/articles/PMC2698906/ /pubmed/19473520 http://dx.doi.org/10.1186/1471-2105-10-160 Text en Copyright © 2009 Wu 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 Wu, Tzong-Yuan Hsieh, Chi-Chun Hong, Jun-Jie Chen, Chung-Yung Tsai, Yuh-Show IRSS: a web-based tool for automatic layout and analysis of IRES secondary structure prediction and searching system in silico |
title | IRSS: a web-based tool for automatic layout and analysis of IRES secondary structure prediction and searching system in silico |
title_full | IRSS: a web-based tool for automatic layout and analysis of IRES secondary structure prediction and searching system in silico |
title_fullStr | IRSS: a web-based tool for automatic layout and analysis of IRES secondary structure prediction and searching system in silico |
title_full_unstemmed | IRSS: a web-based tool for automatic layout and analysis of IRES secondary structure prediction and searching system in silico |
title_short | IRSS: a web-based tool for automatic layout and analysis of IRES secondary structure prediction and searching system in silico |
title_sort | irss: a web-based tool for automatic layout and analysis of ires secondary structure prediction and searching system in silico |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2698906/ https://www.ncbi.nlm.nih.gov/pubmed/19473520 http://dx.doi.org/10.1186/1471-2105-10-160 |
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