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dc.contributor.authorGóes Neto, Aristóteles-
dc.contributor.authorDiniz, Marcelo V. C.-
dc.contributor.authorSantos, Leonardo B. L.-
dc.contributor.authorPinho, Suani Tavares Rubim de-
dc.contributor.authorMiranda, José Garcia Vivas-
dc.contributor.authorLobão, Thierry Corrêa Petit-
dc.contributor.authorBorges, Ernesto Pinheiro-
dc.contributor.authorEl-Hani, Charbel Niño-
dc.contributor.authorAndrade, Roberto Fernandes Silva-
dc.creatorGóes Neto, Aristóteles-
dc.creatorDiniz, Marcelo V. C.-
dc.creatorSantos, Leonardo B. L.-
dc.creatorPinho, Suani Tavares Rubim de-
dc.creatorMiranda, José Garcia Vivas-
dc.creatorLobão, Thierry Corrêa Petit-
dc.creatorBorges, Ernesto Pinheiro-
dc.creatorEl-Hani, Charbel Niño-
dc.creatorAndrade, Roberto Fernandes Silva-
dc.date.accessioned2012-05-04T11:12:01Z-
dc.date.issued2010-
dc.identifier.issn0303-2647-
dc.identifier.urihttp://www.repositorio.ufba.br/ri/handle/ri/5769-
dc.descriptionAcesso restrito: Texto completo. p. 59-66.pt_BR
dc.description.abstractChitin is a structural endogenous carbohydrate, which is a major component of fungal cell walls and arthropod exoskeletons. A renewable resource and the second most abundant polysaccharide in nature after cellulose, chitin is currently used for waste water clearing, cosmetics, medical, and veterinary applications. This work comprises data mining of protein sequences related to the chitin metabolic pathway of completely sequenced genomes of extant organisms pertaining to the three life domains, followed by meta-analysis using traditional sequence similarity comparison and complex network approaches. Complex networks involving proteins of the chitin metabolic pathway in extant organisms were constructed based on protein sequence similarity. Several usual network indices were estimated in order to obtain information on the topology of these networks, including those related to higher order neighborhood properties. Due to the assumed evolutionary character of the system, we also discuss issues related to modularity properties, with the concept of edge betweenness playing a particularly important role in our analysis. Complex network approach correctly identifies clusters of organisms that belong to phylogenetic groups without any a priori knowledge about the biological features of the investigated protein sequences. We envisage the prospect of using such a complex network approach as a high-throughput phylogenetic method.pt_BR
dc.language.isoenpt_BR
dc.sourceDOI: 10.1016/j.biosystems.2010.04.006pt_BR
dc.subjectChitinpt_BR
dc.subjectComparative genomicspt_BR
dc.subjectComplex networkspt_BR
dc.titleComparative protein analysis of the chitin metabolic pathway in extant organisms: A complex network approachpt_BR
dc.title.alternativeBioSystemspt_BR
dc.typeArtigo de Periódicopt_BR
dc.identifier.numberv. 101, n. 1pt_BR
dc.embargo.liftdate10000-01-01-
Aparece nas coleções:Artigo Publicado em Periódico (Biologia)

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