Literature DB >> 17626067

Dynamical roles of biological regulatory circuits.

Denis Thieffry1.   

Abstract

Regulatory circuits are found at the basis of all non-trivial dynamical properties of biological networks. More specifically, positive circuits are involved in the generation of multiple differentiated states, whereas negative circuits can generate cyclic or homeostatic behaviours. These notions are briefly reviewed, from initial biological formulations to mathematical formalisations, further encompassing their application to the design of synthetic regulatory systems. Finally, current challenges for the analysis of increasingly complex regulatory networks are indicated, as well as prospects for our understanding of development and evolution.

Mesh:

Year:  2007        PMID: 17626067     DOI: 10.1093/bib/bbm028

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  29 in total

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Authors:  Nicole Radde
Journal:  EURASIP J Bioinform Syst Biol       Date:  2008-11-19

2.  Systems biology approach suggests new miRNAs as phenotypic stability factors in the epithelial-mesenchymal transition.

Authors:  Daner A Silveira; Shantanu Gupta; José Carlos M Mombach
Journal:  J R Soc Interface       Date:  2020-10-14       Impact factor: 4.118

3.  The logic of EGFR/ErbB signaling: theoretical properties and analysis of high-throughput data.

Authors:  Regina Samaga; Julio Saez-Rodriguez; Leonidas G Alexopoulos; Peter K Sorger; Steffen Klamt
Journal:  PLoS Comput Biol       Date:  2009-08-07       Impact factor: 4.475

4.  Avoiding transcription factor competition at promoter level increases the chances of obtaining oscillation.

Authors:  Andreea Munteanu; Marco Constante; Mark Isalan; Ricard V Solé
Journal:  BMC Syst Biol       Date:  2010-05-17

5.  Monotonicity, frustration, and ordered response: an analysis of the energy landscape of perturbed large-scale biological networks.

Authors:  Giovanni Iacono; Claudio Altafini
Journal:  BMC Syst Biol       Date:  2010-06-10

6.  Diversity and plasticity of Th cell types predicted from regulatory network modelling.

Authors:  Aurélien Naldi; Jorge Carneiro; Claudine Chaouiya; Denis Thieffry
Journal:  PLoS Comput Biol       Date:  2010-09-02       Impact factor: 4.475

7.  Modeling the effects of positive and negative feedback in kidney blood flow control.

Authors:  Runjing Liu; Anita T Layton
Journal:  Math Biosci       Date:  2016-03-10       Impact factor: 2.144

8.  Dynamics of p53 and NF-κB regulation in response to DNA damage and identification of target proteins suitable for therapeutic intervention.

Authors:  Rainer Poltz; Michael Naumann
Journal:  BMC Syst Biol       Date:  2012-09-15

9.  Modeling approaches for qualitative and semi-quantitative analysis of cellular signaling networks.

Authors:  Regina Samaga; Steffen Klamt
Journal:  Cell Commun Signal       Date:  2013-06-26       Impact factor: 5.712

10.  Computing paths and cycles in biological interaction graphs.

Authors:  Steffen Klamt; Axel von Kamp
Journal:  BMC Bioinformatics       Date:  2009-06-15       Impact factor: 3.169

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