Literature DB >> 18379883

Robustness in regulatory networks: a multi-disciplinary approach.

Jacques Demongeot1, Adrien Elena, Sylvain Sené.   

Abstract

We give in this paper indications about the dynamical impact (as phenotypic changes) coming from the main sources of perturbation in biological regulatory networks. First, we define the boundary of the interaction graph expressing the regulations between the main elements of the network (genes, proteins, metabolites, ...). Then, we search what changes in the state values on the boundary could cause some changes of states in the core of the system (robustness to boundary conditions). After, we analyse the role of the mode of updating (sequential, block sequential or parallel) on the asymptotics of the network, essentially on the occurrence of limit cycles (robustness to updating methods). Finally, we show the influence of some topological changes (e.g. suppression or addition of interactions) on the dynamical behaviour of the system (robustness to topology perturbations).

Mesh:

Year:  2008        PMID: 18379883     DOI: 10.1007/s10441-008-9029-x

Source DB:  PubMed          Journal:  Acta Biotheor        ISSN: 0001-5342            Impact factor:   1.774


  7 in total

1.  Discrete dynamics of contagious social diseases: Example of obesity.

Authors:  J Demongeot; O Hansen; C Taramasco
Journal:  Virulence       Date:  2015-09-16       Impact factor: 5.882

2.  Biological Networks Entropies: Examples in Neural Memory Networks, Genetic Regulation Networks and Social Epidemic Networks.

Authors:  Jacques Demongeot; Mariem Jelassi; Hana Hazgui; Slimane Ben Miled; Narjes Bellamine Ben Saoud; Carla Taramasco
Journal:  Entropy (Basel)       Date:  2018-01-13       Impact factor: 2.524

3.  Entropy as a Robustness Marker in Genetic Regulatory Networks.

Authors:  Mustapha Rachdi; Jules Waku; Hana Hazgui; Jacques Demongeot
Journal:  Entropy (Basel)       Date:  2020-02-25       Impact factor: 2.524

4.  Phase transitions and assortativity in models of gene regulatory networks evolved under different selection processes.

Authors:  Brandon Alexander; Alexandra Pushkar; Michelle Girvan
Journal:  J R Soc Interface       Date:  2021-04-14       Impact factor: 4.118

5.  Applications of a formal approach to decipher discrete genetic networks.

Authors:  Fabien Corblin; Eric Fanchon; Laurent Trilling
Journal:  BMC Bioinformatics       Date:  2010-07-20       Impact factor: 3.169

6.  Attraction basins as gauges of robustness against boundary conditions in biological complex systems.

Authors:  Jacques Demongeot; Eric Goles; Michel Morvan; Mathilde Noual; Sylvain Sené
Journal:  PLoS One       Date:  2010-08-05       Impact factor: 3.240

7.  Robustness in regulatory interaction networks. A generic approach with applications at different levels: physiologic, metabolic and genetic.

Authors:  Jacques Demongeot; Hedi Ben Amor; Adrien Elena; Pierre Gillois; Mathilde Noual; Sylvain Sené
Journal:  Int J Mol Sci       Date:  2009-11-20       Impact factor: 6.208

  7 in total

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