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The study on the characters of membrane protein interaction and its network based on integrated intelligence method / 生物医学工程学杂志
Journal of Biomedical Engineering ; (6): 658-662, 2011.
Artículo en Chino | WPRIM | ID: wpr-359204
ABSTRACT
Membrane protein and its interaction network have become a novel research direction in bioinformatics. In this paper, a novel membrane protein interaction network simulator is proposed for system biology studies by integrated intelligence method including spectrum analysis, fuzzy K-Nearest Neighbor(KNN) algorithm and so on. We consider biological system as a set of active computational components interacting with each other and with the external environment. Then we can use the network simulator to construct membrane protein interaction networks. Based on the proposed approach, we found that the membrane protein interaction network almost has some dynamic and collective characteristics, such as small-world network, scale free distributing, and hierarchical module structure. These properties are similar to those of other extensively studied protein interaction networks. The present studies on the characteristics of the membrane protein interaction network will be valuable for its relatively biological and medical studies.
Asunto(s)
Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Asunto principal: Unión Proteica / Algoritmos / Simulación por Computador / Inteligencia Artificial / Química / Biología Computacional / Mapeo de Interacción de Proteínas / Mapas de Interacción de Proteínas / Proteínas de la Membrana / Métodos Tipo de estudio: Estudio pronóstico Límite: Animales / Humanos Idioma: Chino Revista: Journal of Biomedical Engineering Año: 2011 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Asunto principal: Unión Proteica / Algoritmos / Simulación por Computador / Inteligencia Artificial / Química / Biología Computacional / Mapeo de Interacción de Proteínas / Mapas de Interacción de Proteínas / Proteínas de la Membrana / Métodos Tipo de estudio: Estudio pronóstico Límite: Animales / Humanos Idioma: Chino Revista: Journal of Biomedical Engineering Año: 2011 Tipo del documento: Artículo