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Publicação
Logical Modeling and Dynamical Analysis of Cellular Networks
| Nome: | Descrição: | Tamanho: | Formato: | |
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| artigo principal | 3.97 MB | Adobe PDF | ||
| material suplementar | 928.58 KB | Adobe PDF |
Orientador(es)
Resumo(s)
The logical (or logic) formalism is increasingly used to model regulatory and signaling networks. Complementing these applications, several groups contributed various methods and tools to support the definition and analysis of logical models. After an introduction to the logical modeling framework and to several of its variants, we review here a number of recent methodological advances to ease the analysis of large and intricate networks. In particular, we survey approaches to determine model attractors and their reachability properties, to assess the dynamical impact of variations of external signals, and to consistently reduce large models. To illustrate these developments, we further consider several published logical models for two important biological processes, namely the differentiation of T helper cells and the control of mammalian cell cycle.
Descrição
Palavras-chave
regulatory and signaling networks logical modeling discrete dynamics attractors reachability analysis simulation T cells activation and differentiation cell cycle control
Contexto Educativo
Citação
Abou-JaoudéW,TraynardP, Monteiro PT,Saez-RodriguezJ, HelikarT,ThieffryDandChaouiyaC (2016) LogicalModelingand DynamicalAnalysisofCellular Networks.Front.Genet.7:94. doi: 10.3389/fgene.2016.00094
Editora
Frontiers in Genetics