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: | Genetics and Molecular Biology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572007000600030 |
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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Genetics and Molecular Biology |
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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.Sociedade Brasileira de Genética2007-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572007000600030Genetics and Molecular Biology v.30 n.4 2007reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/S1415-47572007000600030info:eu-repo/semantics/openAccessPereira,Tiago CamposBittencourt,Vinícius D'Ávila PascoalSecolin,RodrigoRocha,Cristiane de SouzaMaia,Ivan de GodoyLopes-Cendes,Isciaeng2007-12-13T00:00:00Zoai:scielo:S1415-47572007000600030Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2007-12-13T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)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 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 |
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 |
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 Bittencourt,Vinícius D'Ávila Pascoal Secolin,Rodrigo Rocha,Cristiane de Souza Maia,Ivan de Godoy Lopes-Cendes,Iscia |
author_role |
author |
author2 |
Bittencourt,Vinícius D'Ávila Pascoal Secolin,Rodrigo Rocha,Cristiane de Souza Maia,Ivan de Godoy Lopes-Cendes,Iscia |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Pereira,Tiago Campos Bittencourt,Vinícius D'Ávila Pascoal Secolin,Rodrigo Rocha,Cristiane de Souza Maia,Ivan de Godoy 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 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572007000600030 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572007000600030 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1415-47572007000600030 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
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 |
Genetics and Molecular Biology v.30 n.4 2007 reponame:Genetics and Molecular Biology instname:Sociedade Brasileira de Genética (SBG) instacron:SBG |
instname_str |
Sociedade Brasileira de Genética (SBG) |
instacron_str |
SBG |
institution |
SBG |
reponame_str |
Genetics and Molecular Biology |
collection |
Genetics and Molecular Biology |
repository.name.fl_str_mv |
Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG) |
repository.mail.fl_str_mv |
||editor@gmb.org.br |
_version_ |
1752122381053198336 |