Finding the fixed points of a Boolean network from a positive feedback vertex set

Author:

Aracena Julio1,Cabrera-Crot Luis2,Salinas Lilian2

Affiliation:

1. CI2MA and Departamento de Ingeniería Matemática, Facultad de Ciencias Físicas y Matemáticas, Universidad de Concepción, Concepción, Chile

2. Departamento de Ing. Informática y Cs. de la Computación and CI2MA, Facultad de Ingeniería, Universidad de Concepción, Concepción, Chile

Abstract

Abstract Motivation In the modeling of biological systems by Boolean networks, a key problem is finding the set of fixed points of a given network. Some constructed algorithms consider certain structural properties of the regulatory graph like those proposed by Akutsu et al. and Zhang et al., which consider a feedback vertex set of the graph. However, these methods do not take into account the type of action (activation and inhibition) between its components. Results In this article, we propose a new algorithm for finding the set of fixed points of a Boolean network, based on a positive feedback vertex set P of its regulatory graph and which works, by applying a sequential update schedule, in time O(2|P|·n2+k), where n is the number of components and the regulatory functions of the network can be evaluated in time O(nk), k≥0. The theoretical foundation of this algorithm is due a nice characterization, that we give, of the dynamical behavior of the Boolean networks without positive cycles and with a fixed point. Availability and implementation An executable file of FixedPoint algorithm made in Java and some examples of input files are available at: www.inf.udec.cl/˜lilian/FPCollector/. Supplementary information Supplementary material is available at Bioinformatics online.

Funder

ANID-Chile

CONICYT-PCHA

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference47 articles.

1. A system for identifying genetic networks from gene expression patterns produced by gene disruptions and overexpressions;Akutsu;Genome Inform,1998

2. Determining a singleton attractor of a Boolean network with nested canalyzing functions;Akutsu;J. Comput. Biol,2011

3. Maximum number of fixed points in regulatory Boolean networks;Aracena;Bull. Math. Biol,2008

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