Use este identificador para citar ou linkar para este item: http://repositoriosenaiba.fieb.org.br/handle/fieb/195
Título: Self-organized critical model for protein folding
Título(s) alternativo(s): Physica A
Autor(es): Moret, M.A.
Palavras-chave: Tsallis statistics
Mass-size exponent
Solvent accessible surface area
Self-organized criticality
Scaling
Data do documento: 2011
Citação: Moret, M.A.. Self-organized critical model for protein folding. Physica. A (Print), v. 390, p. 3055-3059, 2011.
Resumo: The major factor that drives a protein toward collapse and folding is the hydrophobic effect. At the folding process a hydrophobic core is shielded by the solvent-accessible surface area of the protein. We study the fractal behavior of 5526 protein structures present in the Brookhaven Protein Data Bank. Power laws of protein mass, volume and solvent-accessible surface area are measured independently. The present findings indicate that self-organized criticality is an alternative explanation for the protein folding. Also we note that the protein packing is an independent and constant value because the self-similar behavior of the volumes and protein masses have the same fractal dimension. This power law guarantees that a protein is a complex system. From the analyzed data, q-Gaussian distributions seem to fit well this class of systems. ©
Descrição: p.3055-3059
URI: http://repositoriosenaiba.fieb.org.br/handle/fieb/195
Aparece nas coleções:Artigos Publicados em Periódicos (PPG MCTI)

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