Triplet entropy in H1N1 virus

Detalhes bibliográficos
Autor(a) principal: Santos,L. dos
Data de Publicação: 2011
Outros Autores: Rybarczyk Filho,J.L., Gerhardt,G.J.L.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512011000300009
Resumo: In this work we analyze triplet entropy in a set of H1N1 virus sequences. We correlated measures of entropy and guanine and cytosine concentration with chronology sample for a set of more than 30,000 sequences. This description allowed us to draw a map of the virus organizational changes throughout the 20th century. The main conclusion of our analysis was to show that some virus segments are mutating with a higher rate than others over the years and, in some cases, they are clustering sequences into new subgroups. A higher changing rate was found precisely in PA and PB1 segments, which are parts of H1N1 replication machinery. This highlights that organizational measures, as presented here, partially reflect segment dynamics and corroborates some recent experimental findings, which showed that during the last virus outbreak there has been a major change in polymerase activity. This type of approach may help to optimize treatment targets for this disease.
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spelling Triplet entropy in H1N1 virusH1N1EntropyDNAIn this work we analyze triplet entropy in a set of H1N1 virus sequences. We correlated measures of entropy and guanine and cytosine concentration with chronology sample for a set of more than 30,000 sequences. This description allowed us to draw a map of the virus organizational changes throughout the 20th century. The main conclusion of our analysis was to show that some virus segments are mutating with a higher rate than others over the years and, in some cases, they are clustering sequences into new subgroups. A higher changing rate was found precisely in PA and PB1 segments, which are parts of H1N1 replication machinery. This highlights that organizational measures, as presented here, partially reflect segment dynamics and corroborates some recent experimental findings, which showed that during the last virus outbreak there has been a major change in polymerase activity. This type of approach may help to optimize treatment targets for this disease.Sociedade Brasileira de Matemática Aplicada e Computacional2011-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512011000300009TEMA (São Carlos) v.12 n.3 2011reponame:TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)instname:Sociedade Brasileira de Matemática Aplicada e Computacionalinstacron:SBMAC10.5540/tema.2011.012.03.0253info:eu-repo/semantics/openAccessSantos,L. dosRybarczyk Filho,J.L.Gerhardt,G.J.L.eng2012-10-05T00:00:00Zoai:scielo:S2179-84512011000300009Revistahttp://www.scielo.br/temaPUBhttps://old.scielo.br/oai/scielo-oai.phpcastelo@icmc.usp.br2179-84511677-1966opendoar:2012-10-05T00:00TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) - Sociedade Brasileira de Matemática Aplicada e Computacionalfalse
dc.title.none.fl_str_mv Triplet entropy in H1N1 virus
title Triplet entropy in H1N1 virus
spellingShingle Triplet entropy in H1N1 virus
Santos,L. dos
H1N1
Entropy
DNA
title_short Triplet entropy in H1N1 virus
title_full Triplet entropy in H1N1 virus
title_fullStr Triplet entropy in H1N1 virus
title_full_unstemmed Triplet entropy in H1N1 virus
title_sort Triplet entropy in H1N1 virus
author Santos,L. dos
author_facet Santos,L. dos
Rybarczyk Filho,J.L.
Gerhardt,G.J.L.
author_role author
author2 Rybarczyk Filho,J.L.
Gerhardt,G.J.L.
author2_role author
author
dc.contributor.author.fl_str_mv Santos,L. dos
Rybarczyk Filho,J.L.
Gerhardt,G.J.L.
dc.subject.por.fl_str_mv H1N1
Entropy
DNA
topic H1N1
Entropy
DNA
description In this work we analyze triplet entropy in a set of H1N1 virus sequences. We correlated measures of entropy and guanine and cytosine concentration with chronology sample for a set of more than 30,000 sequences. This description allowed us to draw a map of the virus organizational changes throughout the 20th century. The main conclusion of our analysis was to show that some virus segments are mutating with a higher rate than others over the years and, in some cases, they are clustering sequences into new subgroups. A higher changing rate was found precisely in PA and PB1 segments, which are parts of H1N1 replication machinery. This highlights that organizational measures, as presented here, partially reflect segment dynamics and corroborates some recent experimental findings, which showed that during the last virus outbreak there has been a major change in polymerase activity. This type of approach may help to optimize treatment targets for this disease.
publishDate 2011
dc.date.none.fl_str_mv 2011-12-01
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=S2179-84512011000300009
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512011000300009
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5540/tema.2011.012.03.0253
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 Matemática Aplicada e Computacional
publisher.none.fl_str_mv Sociedade Brasileira de Matemática Aplicada e Computacional
dc.source.none.fl_str_mv TEMA (São Carlos) v.12 n.3 2011
reponame:TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
instname:Sociedade Brasileira de Matemática Aplicada e Computacional
instacron:SBMAC
instname_str Sociedade Brasileira de Matemática Aplicada e Computacional
instacron_str SBMAC
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reponame_str TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
collection TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
repository.name.fl_str_mv TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) - Sociedade Brasileira de Matemática Aplicada e Computacional
repository.mail.fl_str_mv castelo@icmc.usp.br
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