Busca avançada
Ano de início
Entree


A Robust Structural PGN Model for Control of Cell-Cycle Progression Stabilized by Negative Feedbacks

Texto completo
Autor(es):
Trepode, Nestor Walter ; Armelin, Hugo Aguirre ; Bittner, Michael ; Barrera, Junior ; Gubitoso, Marco Dimas ; Hashimoto, Ronaldo Fumio
Número total de Autores: 6
Tipo de documento: Artigo Científico
Fonte: EURASIP JOURNAL ON BIOINFORMATICS AND SYSTEMS BIOLOGY; v. N/A, n. 1, p. 11-pg., 2007-12-01.
Resumo

The cell division cycle comprises a sequence of phenomena controlled by a stable and robust genetic network. We applied a probabilistic genetic network (PGN) to construct a hypothetical model with a dynamical behavior displaying the degree of robustness typical of the biological cell cycle. The structure of our PGN model was inspired in well-established biological facts such as the existence of integrator subsystems, negative and positive feedback loops, and redundant signaling pathways. Our model represents genes interactions as stochastic processes and presents strong robustness in the presence of moderate noise and parameters fluctuations. A recently published deterministic yeast cell-cycle model does not perform as well as our PGN model, even upon moderate noise conditions. In addition, self stimulatory mechanisms can give our PGN model the possibility of having a pacemaker activity similar to the observed in the oscillatory embryonic cell cycle. Copyright (C) 2007 NestorWalter Trepode et al. (AU)

Processo FAPESP: 03/02717-8 - Desconstrução molecular do módulo de controle do ciclo celular em células adrenocorticais y1 de camundongo
Beneficiário:Hugo Aguirre Armelin
Modalidade de apoio: Auxílio à Pesquisa - Temático
Processo FAPESP: 01/14115-7 - Identificação de sistemas dinâmicos de reticulados
Beneficiário:Nestor Walter Trepode
Modalidade de apoio: Bolsas no Brasil - Doutorado
Processo FAPESP: 05/00587-5 - Modelagem por redes (grafos) e técnicas de reconhecimento de padrões: estrutura, dinâmica e aplicações
Beneficiário:Roberto Marcondes Cesar Junior
Modalidade de apoio: Auxílio à Pesquisa - Temático