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Please use this identifier to cite or link to this item: http://repositorio.ufba.br/ri/handle/ri/13633

Title: Stochastic strategy to analyze protein folding
Other Titles: Physica A: Statistical Mechanics and its Applications
Authors: Nogueira Júnior, E.
Moret, M. A.
Bisch, Paulo Mascarello
Pascutti, P. G.
Keywords: Secondary structure folding;Tsallis statistics;Generalized Simulated Annealing
Issue Date: 2005
Abstract: We propose a stochastic approach to combine methods from computational physics and Tsallis statistics in order to analyze the potential energy hypersurface of the proteins. This approach enables us to study protein folding by the topology of the energy hypersurface close to the native structures. As a bonus, this stochastic procedure allows us to obtain some of the possible intermediate states of protein folding. In particular, we describe results which suggest that the enthalpy drives the process of protein folding close to the native state. Finally, we propose an alternative view of the process of protein folding.
Description: Texto completo: acesso restrito. p.353–364
URI: http://repositorio.ufba.br/ri/handle/ri/13633
ISSN: 0378-4371
Appears in Collections:Artigos Publicados em Periódicos (FIS)

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