Literature DB >> 16434137

GINsim: a software suite for the qualitative modelling, simulation and analysis of regulatory networks.

A Gonzalez Gonzalez1, A Naldi, L Sánchez, D Thieffry, C Chaouiya.   

Abstract

This paper presents GINsim, a Java software suite devoted to the qualitative modelling, analysis and simulation of genetic regulatory networks. Formally, our approach leans on discrete mathematical and graph-theoretical concepts. GINsim encompasses an intuitive graph editor, enabling the definition and the parameterisation of a regulatory graph, as well as a simulation engine to compute the corresponding qualitative dynamical behaviour. Our computational approach is illustrated by a preliminary model analysis of the inter-cellular regulatory network activating Notch at the dorsal-ventral boundary in the wing imaginal disc of Drosophila. We focus on the cross-regulations between five genes (within and between two cells), which implements the dorsal-ventral border in the developing imaginal disc. Our simulations qualitatively reproduce the wild-type developmental pathway, as well as the outcome of various types of experimental perturbations, such as loss-of-function mutations or ectopically induced gene expression.

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Year:  2006        PMID: 16434137     DOI: 10.1016/j.biosystems.2005.10.003

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  48 in total

Review 1.  Multi-parameter exploration of dynamics of regulatory networks.

Authors:  Tomáš Gedeon
Journal:  Biosystems       Date:  2020-02-10       Impact factor: 1.973

2.  Dynamical analysis of the regulatory network defining the dorsal-ventral boundary of the Drosophila wing imaginal disc.

Authors:  Aitor González; Claudine Chaouiya; Denis Thieffry
Journal:  Genetics       Date:  2006-09-01       Impact factor: 4.562

3.  Modeling ERBB receptor-regulated G1/S transition to find novel targets for de novo trastuzumab resistance.

Authors:  Ozgür Sahin; Holger Fröhlich; Christian Löbke; Ulrike Korf; Sara Burmester; Meher Majety; Jens Mattern; Ingo Schupp; Claudine Chaouiya; Denis Thieffry; Annemarie Poustka; Stefan Wiemann; Tim Beissbarth; Dorit Arlt
Journal:  BMC Syst Biol       Date:  2009-01-01

Review 4.  Logic-based models for the analysis of cell signaling networks.

Authors:  Melody K Morris; Julio Saez-Rodriguez; Peter K Sorger; Douglas A Lauffenburger
Journal:  Biochemistry       Date:  2010-04-20       Impact factor: 3.162

5.  Odefy--from discrete to continuous models.

Authors:  Jan Krumsiek; Sebastian Pölsterl; Dominik M Wittmann; Fabian J Theis
Journal:  BMC Bioinformatics       Date:  2010-05-07       Impact factor: 3.169

Review 6.  Logic-based models in systems biology: a predictive and parameter-free network analysis method.

Authors:  Michelle L Wynn; Nikita Consul; Sofia D Merajver; Santiago Schnell
Journal:  Integr Biol (Camb)       Date:  2012-11       Impact factor: 2.192

7.  A Middle-Out Modeling Strategy to Extend a Colon Cancer Logical Model Improves Drug Synergy Predictions in Epithelial-Derived Cancer Cell Lines.

Authors:  Eirini Tsirvouli; Vasundra Touré; Barbara Niederdorfer; Miguel Vázquez; Åsmund Flobak; Martin Kuiper
Journal:  Front Mol Biosci       Date:  2020-10-09

8.  Detecting small attractors of large Boolean networks by function-reduction-based strategy.

Authors:  Qiben Zheng; Liangzhong Shen; Xuequn Shang; Wenbin Liu
Journal:  IET Syst Biol       Date:  2016-04       Impact factor: 1.615

9.  "Antelope": a hybrid-logic model checker for branching-time Boolean GRN analysis.

Authors:  Gustavo Arellano; Julián Argil; Eugenio Azpeitia; Mariana Benítez; Miguel Carrillo; Pedro Góngora; David A Rosenblueth; Elena R Alvarez-Buylla
Journal:  BMC Bioinformatics       Date:  2011-12-22       Impact factor: 3.307

10.  CellNOptR: a flexible toolkit to train protein signaling networks to data using multiple logic formalisms.

Authors:  Camille Terfve; Thomas Cokelaer; David Henriques; Aidan MacNamara; Emanuel Goncalves; Melody K Morris; Martijn van Iersel; Douglas A Lauffenburger; Julio Saez-Rodriguez
Journal:  BMC Syst Biol       Date:  2012-10-18
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