Towards Intelligent Biological Control: Controlling Boolean Networks with Boolean Networks

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6 Citations (Scopus)

Abstract

Gene regulatory networks (GRNs) are the complex dynamical systems that orchestrate the activities of biological cells. In order to design effective therapeutic interventions for diseases such as cancer, there is a need to control GRNs in more sophisticated ways. Computational control methods offer the potential for discovering such interventions, but the difficulty of the control problem means that current methods can only be applied to GRNs that are either very small or that are topologically restricted. In this paper, we consider an alternative approach that uses evolutionary algorithms to design GRNs that can control other GRNs. This is motivated by previous work showing that computational models of GRNs can express complex control behaviours in a relatively compact fashion. As a first step towards this goal, we consider abstract Boolean network models of GRNs, demonstrating that Boolean networks can be evolved to control trajectories within other Boolean networks. The Boolean approach also has the advantage of a relatively easy mapping to synthetic biology implementations, offering a potential path to in vivo realisation of evolved controllers.
Original languageEnglish
Title of host publicationApplications of Evolutionary Computation
Subtitle of host publicationProceedings of 19th European Conference, EvoApplications 2016
EditorsGiovanni Squillero, Paolo Burelli
PublisherSpringer International Publishing
Pages351-362
Number of pages12
ISBN (Electronic)9783319312040
ISBN (Print)9783319312033
DOIs
Publication statusPublished - 15 Mar 2016
Event19th European Conference on the Applications of Evolutionary Computation 2016 - Porto, Portugal
Duration: 30 Mar 20161 Apr 2016

Publication series

NameLecture Notes in Computer Science
PublisherSpringer International Publishing
Volume9597
ISSN (Print)0302-9743

Conference

Conference19th European Conference on the Applications of Evolutionary Computation 2016
Abbreviated titleEvo Applications 2016
CountryPortugal
CityPorto
Period30/03/161/04/16

Keywords

  • Gene regulatory networks
  • Boolean networks
  • Control
  • Evolutionary algorithms

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    Taou, N. S., Corne, D., & Lones, M. A. (2016). Towards Intelligent Biological Control: Controlling Boolean Networks with Boolean Networks. In G. Squillero, & P. Burelli (Eds.), Applications of Evolutionary Computation: Proceedings of 19th European Conference, EvoApplications 2016 (pp. 351-362). (Lecture Notes in Computer Science; Vol. 9597). Springer International Publishing. https://doi.org/10.1007/978-3-319-31204-0_23