Literature DB >> 18451430

Search for steady states of piecewise-linear differential equation models of genetic regulatory networks.

Hidde de Jong1, Michel Page.   

Abstract

Analysis of the attractors of a genetic regulatory network gives a good indication of the possible functional modes of the system. In this paper we are concerned with the problem of finding all steady states of genetic regulatory networks described by piecewise-linear differential equation (PLDE) models. We show that the problem is NP-hard and translate it into a propositional satisfiability (SAT) problem. This allows the use of existing, efficient SAT solvers and has enabled the development of a steady state search module of the computer tool Genetic Network Analyzer (GNA). The practical use of this module is demonstrated by means of the analysis of a number of relatively small bacterial regulatory networks as well as randomly generated networks of several hundreds of genes.

Mesh:

Year:  2008        PMID: 18451430     DOI: 10.1109/TCBB.2007.70254

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  8 in total

1.  ASP-G: an ASP-based method for finding attractors in genetic regulatory networks.

Authors:  Mushthofa Mushthofa; Gustavo Torres; Yves Van de Peer; Kathleen Marchal; Martine De Cock
Journal:  Bioinformatics       Date:  2014-07-15       Impact factor: 6.937

Review 2.  Qualitative Modeling, Analysis and Control of Synthetic Regulatory Circuits.

Authors:  Madalena Chaves; Hidde de Jong
Journal:  Methods Mol Biol       Date:  2021

Review 3.  Attractor detection and enumeration algorithms for Boolean networks.

Authors:  Tomoya Mori; Tatsuya Akutsu
Journal:  Comput Struct Biotechnol J       Date:  2022-05-21       Impact factor: 6.155

4.  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

5.  SPABBATS: A pathway-discovery method based on Boolean satisfiability that facilitates the characterization of suppressor mutants.

Authors:  Lope A Flórez; Katrin Gunka; Rafael Polanía; Stefan Tholen; Jörg Stülke
Journal:  BMC Syst Biol       Date:  2011-01-11

6.  An Efficient Steady-State Analysis Method for Large Boolean Networks with High Maximum Node Connectivity.

Authors:  Changki Hong; Jeewon Hwang; Kwang-Hyun Cho; Insik Shin
Journal:  PLoS One       Date:  2015-12-30       Impact factor: 3.240

7.  Influence of parameter perturbations on the reachability of therapeutic target in systems with switchings.

Authors:  Magdalena Ochab; Krzysztof Puszynski; Andrzej Swierniak
Journal:  Biomed Eng Online       Date:  2017-08-18       Impact factor: 2.819

Review 8.  Computational dynamic approaches for temporal omics data with applications to systems medicine.

Authors:  Yulan Liang; Arpad Kelemen
Journal:  BioData Min       Date:  2017-06-17       Impact factor: 2.522

  8 in total

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