Computing with artificial gene regulatory networks

MA Lones - Evolutionary Computation in Gene Regulatory …, 2016 - Wiley Online Library
Gene regulatory networks (GRNs) are the fundamental mechanisms through which
biological organisms control their growth, their dynamical behavior, their interaction with …

Investigating the use of Boolean networks for the control of gene regulatory networks

NS Taou, DW Corne, MA Lones - Journal of computational science, 2018 - Elsevier
The behaviour of biological cells emerges from complex patterns of interactions between
genes and their products, known as gene regulatory networks (GRN). An important aim of …

Biochemical connectionism

MA Lones, AP Turner, LA Fuente, S Stepney… - Natural Computing, 2013 - Springer
In this paper, we discuss computational architectures that are motivated by connectionist
patterns that occur in biochemical networks, and speculate about how this biochemical …

Artificial biochemical networks: Evolving dynamical systems to control dynamical systems

MA Lones, LA Fuente, AP Turner… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
Biological organisms exist within environments in which complex nonlinear dynamics are
ubiquitous. They are coupled to these environments via their own complex dynamical …

Towards intelligent biological control: Controlling boolean networks with boolean networks

NS Taou, DW Corne, MA Lones - … 2016, Porto, Portugal, March 30--April 1 …, 2016 - Springer
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 …

Identifying targets for intervention by analyzing basins of attraction

MP Verdicchio, S Kim - Biocomputing 2011, 2011 - World Scientific
Motivation: A grand challenge in the modeling of biological systems is the identification of
key variables which can act as targets for intervention. Good intervention targets are the" key …

Analysis and Synthesis of Boolean Networks

M Liu - 2015 - diva-portal.org
In this thesis, we present techniques and algorithms for analysis and synthesis of
synchronous Boolean and multiple-valued networks. Synchronous Boolean and multiple …

[PDF][PDF] Reduction of Boolean network basins of attraction reveals intervention targets

MP Verdicchio, S Kim - 2010 - researchgate.net
Motivation: A grand challenge in the modeling of biological systems is the identification of
key variables which can act as targets for intervention. Good intervention targets are the “key …

Template-based intervention in Boolean network models of biological systems

MP Verdicchio, S Kim - EURASIP Journal on Bioinformatics and Systems …, 2014 - Springer
Motivation A grand challenge in the modeling of biological systems is the identification of
key variables which can act as targets for intervention. Boolean networks are among the …

Towards the control of cell states in gene regulatory networks by evolving Boolean networks

NS Taou - 2018 - ros.hw.ac.uk
Biological cell behaviours emerge from complex patterns of interactions between genes and
their products, known as gene regulatory networks (GRNs). More specifically, GRNs are …