Logical modelling of regulatory networks with GINsim 2.3

Biosystems ◽  
2009 ◽  
Vol 97 (2) ◽  
pp. 134-139 ◽  
Author(s):  
A. Naldi ◽  
D. Berenguier ◽  
A. Fauré ◽  
F. Lopez ◽  
D. Thieffry ◽  
...  
F1000Research ◽  
2019 ◽  
Vol 7 ◽  
pp. 1145 ◽  
Author(s):  
Pedro L. Varela ◽  
Camila V. Ramos ◽  
Pedro T. Monteiro ◽  
Claudine Chaouiya

Cellular responses are governed by regulatory networks subject to external signals from surrounding cells and to other micro-environmental cues. The logical (Boolean or multi-valued)  framework proved well suited to study such processes at the cellular level, by specifying qualitative models of involved signalling pathways and gene regulatory networks.  Here, we describe and illustrate the main features of EpiLog, a computational tool that implements an extension of the logical framework to the tissue level. EpiLog defines a collection of hexagonal cells over a 2D grid, which embodies a mono-layer epithelium. Basically, it defines a cellular automaton in which cell behaviours are driven by associated logical models subject to external signals.  EpiLog is freely available on the web at http://epilog-tool.org. It is implemented in Java (version ≥1.7 required) and the source code is provided at https://github.com/epilog-tool/epilog under a GNU General Public License v3.0.


2013 ◽  
Vol 75 (6) ◽  
pp. 891-895 ◽  
Author(s):  
Claudine Chaouiya ◽  
Elisabeth Remy

2018 ◽  
Author(s):  
Aurélien Naldi ◽  
Céline Hernandez ◽  
Wassim Abou-Jaoudé ◽  
Pedro T. Monteiro ◽  
Claudine Chaouiya ◽  
...  

AbstractThe logical formalism is well adapted to model large cellular networks, for which detailed kinetic data are scarce. This tutorial focuses on this well-established qualitative framework. Relying on GINsim (release 3.0), a software implementing this formalism, we guide the reader step by step towards the definition, the analysis and the simulation of a four-node model of the mammalian p53-Mdm2 network.


F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 1145 ◽  
Author(s):  
Pedro L. Varela ◽  
Camila V. Ramos ◽  
Pedro T. Monteiro ◽  
Claudine Chaouiya

Cellular responses are governed by regulatory networks subject to external signals from surrounding cells and to other micro-environmental cues. The logical (Boolean or multi-valued)  framework proved well suited to study such processes at the cellular level, by specifying qualitative models of involved signalling pathways and gene regulatory networks.  Here, we describe and illustrate the main features of EpiLog, a computational tool that implements an extension of the logical framework to the tissue level. EpiLog defines a collection of hexagonal cells over a 2D grid, which embodies a mono-layer epithelium. Basically, it defines a cellular automaton in which cell behaviours are driven by associated logical models subject to external signals.  EpiLog is freely available on the web at http://epilog-tool.org. It is implemented in Java (version ≥1.7 required) and the source code is provided at https://github.com/epilog-tool/epilog under a GNU General Public License v3.0.


Author(s):  
Günter P. Wagner

Homology—a similar trait shared by different species and derived from common ancestry, such as a seal's fin and a bird's wing—is one of the most fundamental yet challenging concepts in evolutionary biology. This book provides the first mechanistically based theory of what homology is and how it arises in evolution. The book argues that homology, or character identity, can be explained through the historical continuity of character identity networks—that is, the gene regulatory networks that enable differential gene expression. It shows how character identity is independent of the form and function of the character itself because the same network can activate different effector genes and thus control the development of different shapes, sizes, and qualities of the character. Demonstrating how this theoretical model can provide a foundation for understanding the evolutionary origin of novel characters, the book applies it to the origin and evolution of specific systems, such as cell types; skin, hair, and feathers; limbs and digits; and flowers. The first major synthesis of homology to be published in decades, this book reveals how a mechanistically based theory can serve as a unifying concept for any branch of science concerned with the structure and development of organisms, and how it can help explain major transitions in evolution and broad patterns of biological diversity.


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