Literature DB >> 24267277

Computing preimages of Boolean networks.

Johannes Klotz, Martin Bossert, Steffen Schober.   

Abstract

In this paper we present an algorithm based on the sum-product algorithm that finds elements in the preimage of a feed-forward Boolean networks given an output of the network. Our probabilistic method runs in linear time with respect to the number of nodes in the network. We evaluate our algorithm for randomly constructed Boolean networks and a regulatory network of Escherichia coli and found that it gives a valid solution in most cases.

Entities:  

Mesh:

Year:  2013        PMID: 24267277      PMCID: PMC3750533          DOI: 10.1186/1471-2105-14-S10-S4

Source DB:  PubMed          Journal:  BMC Bioinformatics        ISSN: 1471-2105            Impact factor:   3.169


  4 in total

1.  Random Boolean network models and the yeast transcriptional network.

Authors:  Stuart Kauffman; Carsten Peterson; Björn Samuelsson; Carl Troein
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-01       Impact factor: 11.205

2.  Integrating high-throughput and computational data elucidates bacterial networks.

Authors:  Markus W Covert; Eric M Knight; Jennifer L Reed; Markus J Herrgard; Bernhard O Palsson
Journal:  Nature       Date:  2004-05-06       Impact factor: 49.962

3.  Model-based analysis of an adaptive evolution experiment with Escherichia coli in a pyruvate limited continuous culture with glycerol.

Authors:  Ronny Feuer; Katrin Gottlieb; Gero Viertel; Johannes Klotz; Steffen Schober; Martin Bossert; Oliver Sawodny; Georg Sprenger; Michael Ederer
Journal:  EURASIP J Bioinform Syst Biol       Date:  2012-10-03

4.  A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information.

Authors:  Adam M Feist; Christopher S Henry; Jennifer L Reed; Markus Krummenacker; Andrew R Joyce; Peter D Karp; Linda J Broadbelt; Vassily Hatzimanikatis; Bernhard Ø Palsson
Journal:  Mol Syst Biol       Date:  2007-06-26       Impact factor: 11.429

  4 in total
  1 in total

1.  An Algorithm for Finding the Singleton Attractors and Pre-Images in Strong-Inhibition Boolean Networks.

Authors:  Zhiwei He; Meng Zhan; Shuai Liu; Zebo Fang; Chenggui Yao
Journal:  PLoS One       Date:  2016-11-18       Impact factor: 3.240

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.