Strand Analysis, a free online program for the computational identification of the best RNA interference (RNAi) targets based on Gibbs free energy
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
DOI: | 10.1590/S1415-47572007000600030 |
Texto Completo: | http://dx.doi.org/10.1590/S1415-47572007000600030 http://hdl.handle.net/11449/17956 |
Resumo: | The RNA interference (RNAi) technique is a recent technology that uses double-stranded RNA molecules to promote potent and specific gene silencing. The application of this technique to molecular biology has increased considerably, from gene function identification to disease treatment. However, not all small interfering RNAs (siRNAs) are equally efficient, making target selection an essential procedure. Here we present Strand Analysis (SA), a free online software tool able to identify and classify the best RNAi targets based on Gibbs free energy (deltaG). Furthermore, particular features of the software, such as the free energy landscape and deltaG gradient, may be used to shed light on RNA-induced silencing complex (RISC) activity and RNAi mechanisms, which makes the SA software a distinct and innovative tool. |
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Repositório Institucional da UNESP |
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spelling |
Strand Analysis, a free online program for the computational identification of the best RNA interference (RNAi) targets based on Gibbs free energyRNAisiRNAsiRNA designsoftwareThe RNA interference (RNAi) technique is a recent technology that uses double-stranded RNA molecules to promote potent and specific gene silencing. The application of this technique to molecular biology has increased considerably, from gene function identification to disease treatment. However, not all small interfering RNAs (siRNAs) are equally efficient, making target selection an essential procedure. Here we present Strand Analysis (SA), a free online software tool able to identify and classify the best RNAi targets based on Gibbs free energy (deltaG). Furthermore, particular features of the software, such as the free energy landscape and deltaG gradient, may be used to shed light on RNA-induced silencing complex (RISC) activity and RNAi mechanisms, which makes the SA software a distinct and innovative tool.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Universidade Estadual de Campinas Faculdade de Ciências Médicas IDepartamento de Genética MédicaUniversidade Estadual Paulista Instituto de Biologia Departamento de GenéticaUniversidade Estadual Paulista Instituto de Biologia Departamento de GenéticaSociedade Brasileira de GenéticaUniversidade Estadual de Campinas (UNICAMP)Universidade Estadual Paulista (Unesp)Pereira, Tiago CamposBittencourt, Vinícius D'Ávila PascoalSecolin, RodrigoRocha, Cristiane de SouzaMaia, Ivan de Godoy [UNESP]Lopes-Cendes, Iscia2014-05-20T13:50:19Z2014-05-20T13:50:19Z2007-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1206-1208application/pdfhttp://dx.doi.org/10.1590/S1415-47572007000600030Genetics and Molecular Biology. Sociedade Brasileira de Genética, v. 30, n. 4, p. 1206-1208, 2007.1415-4757http://hdl.handle.net/11449/1795610.1590/S1415-47572007000600030S1415-47572007000600030S1415-47572007000600030.pdf8649222099176162SciELOreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengGenetics and Molecular Biology1.4930,638info:eu-repo/semantics/openAccess2023-12-18T06:14:46Zoai:repositorio.unesp.br:11449/17956Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:37:29.735473Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Strand Analysis, a free online program for the computational identification of the best RNA interference (RNAi) targets based on Gibbs free energy |
title |
Strand Analysis, a free online program for the computational identification of the best RNA interference (RNAi) targets based on Gibbs free energy |
spellingShingle |
Strand Analysis, a free online program for the computational identification of the best RNA interference (RNAi) targets based on Gibbs free energy Strand Analysis, a free online program for the computational identification of the best RNA interference (RNAi) targets based on Gibbs free energy Pereira, Tiago Campos RNAi siRNA siRNA design software Pereira, Tiago Campos RNAi siRNA siRNA design software |
title_short |
Strand Analysis, a free online program for the computational identification of the best RNA interference (RNAi) targets based on Gibbs free energy |
title_full |
Strand Analysis, a free online program for the computational identification of the best RNA interference (RNAi) targets based on Gibbs free energy |
title_fullStr |
Strand Analysis, a free online program for the computational identification of the best RNA interference (RNAi) targets based on Gibbs free energy Strand Analysis, a free online program for the computational identification of the best RNA interference (RNAi) targets based on Gibbs free energy |
title_full_unstemmed |
Strand Analysis, a free online program for the computational identification of the best RNA interference (RNAi) targets based on Gibbs free energy Strand Analysis, a free online program for the computational identification of the best RNA interference (RNAi) targets based on Gibbs free energy |
title_sort |
Strand Analysis, a free online program for the computational identification of the best RNA interference (RNAi) targets based on Gibbs free energy |
author |
Pereira, Tiago Campos |
author_facet |
Pereira, Tiago Campos Pereira, Tiago Campos Bittencourt, Vinícius D'Ávila Pascoal Secolin, Rodrigo Rocha, Cristiane de Souza Maia, Ivan de Godoy [UNESP] Lopes-Cendes, Iscia Bittencourt, Vinícius D'Ávila Pascoal Secolin, Rodrigo Rocha, Cristiane de Souza Maia, Ivan de Godoy [UNESP] Lopes-Cendes, Iscia |
author_role |
author |
author2 |
Bittencourt, Vinícius D'Ávila Pascoal Secolin, Rodrigo Rocha, Cristiane de Souza Maia, Ivan de Godoy [UNESP] Lopes-Cendes, Iscia |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual de Campinas (UNICAMP) Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Pereira, Tiago Campos Bittencourt, Vinícius D'Ávila Pascoal Secolin, Rodrigo Rocha, Cristiane de Souza Maia, Ivan de Godoy [UNESP] Lopes-Cendes, Iscia |
dc.subject.por.fl_str_mv |
RNAi siRNA siRNA design software |
topic |
RNAi siRNA siRNA design software |
description |
The RNA interference (RNAi) technique is a recent technology that uses double-stranded RNA molecules to promote potent and specific gene silencing. The application of this technique to molecular biology has increased considerably, from gene function identification to disease treatment. However, not all small interfering RNAs (siRNAs) are equally efficient, making target selection an essential procedure. Here we present Strand Analysis (SA), a free online software tool able to identify and classify the best RNAi targets based on Gibbs free energy (deltaG). Furthermore, particular features of the software, such as the free energy landscape and deltaG gradient, may be used to shed light on RNA-induced silencing complex (RISC) activity and RNAi mechanisms, which makes the SA software a distinct and innovative tool. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007-01-01 2014-05-20T13:50:19Z 2014-05-20T13:50:19Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1590/S1415-47572007000600030 Genetics and Molecular Biology. Sociedade Brasileira de Genética, v. 30, n. 4, p. 1206-1208, 2007. 1415-4757 http://hdl.handle.net/11449/17956 10.1590/S1415-47572007000600030 S1415-47572007000600030 S1415-47572007000600030.pdf 8649222099176162 |
url |
http://dx.doi.org/10.1590/S1415-47572007000600030 http://hdl.handle.net/11449/17956 |
identifier_str_mv |
Genetics and Molecular Biology. Sociedade Brasileira de Genética, v. 30, n. 4, p. 1206-1208, 2007. 1415-4757 10.1590/S1415-47572007000600030 S1415-47572007000600030 S1415-47572007000600030.pdf 8649222099176162 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Genetics and Molecular Biology 1.493 0,638 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1206-1208 application/pdf |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
dc.source.none.fl_str_mv |
SciELO reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1822182293473591297 |
dc.identifier.doi.none.fl_str_mv |
10.1590/S1415-47572007000600030 |