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dc.contributor.authorFigueiredo, P. H.-
dc.contributor.authorMoret, M. A.-
dc.contributor.authorNogueira Júnior, E.-
dc.contributor.authorCoutinho, Sérgio-
dc.creatorFigueiredo, P. H.-
dc.creatorMoret, M. A.-
dc.creatorNogueira Júnior, E.-
dc.creatorCoutinho, Sérgio-
dc.date.accessioned2012-07-05T18:56:15Z-
dc.date.issued2008-
dc.identifier.issn0378-4371-
dc.identifier.urihttp://www.repositorio.ufba.br/ri/handle/ri/6347-
dc.descriptionAcesso restrito: Texto completo. p. 2019-2024.pt_BR
dc.description.abstractThe proposal of this paper is to provide a simple angular random-walk model to build up polypeptide structures, which encompass properties of dihedral angles of folded proteins. From this model, structures will be built with lengths ranging from 125 up to 400 amino acids for the different fractions of secondary structure motifs, in which dihedral angles were randomly chosen according to narrow Gaussian probability distributions. In order to measure the fractal dimension of proteins three different cases were analyzed. The first contained -helix structures only, the second -strands structures and the third a mix of -helices and -sheets. The behavior of proteins with -helix motifs are more compact than in other situations. The findings herein indicate that this model describes some structural properties of a protein and suggest that randomness is an essential ingredient but proteins are driven by narrow angular Gaussian probability distributions and not by random-walk processes.pt_BR
dc.language.isoenpt_BR
dc.sourcehttp://dx.doi.org/10.1016/j.physa.2007.11.034pt_BR
dc.subjectProtein structurept_BR
dc.subjectAngular Gaussian-walkpt_BR
dc.subjectRadius of gyrationpt_BR
dc.subjectMass fractal exponentpt_BR
dc.titleDihedral-angle Gaussian distribution driving protein foldingpt_BR
dc.title.alternativePhysica A-Statistical Mechanics And Its Applicationspt_BR
dc.typeArtigo de Periódicopt_BR
dc.identifier.numberv. 387, n. 8-9pt_BR
dc.embargo.liftdate10000-01-01-
Aparece nas coleções:Artigo Publicado em Periódico (FIS)

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