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

被引：12

作者：

Taou, Nadia S. ^{[1
]}

Corne, David W. ^{[1
]}

Lones, Michael A. ^{[1
]}

机构：

[1] Heriot Watt Univ, Sch Math & Comp Sci, Edinburgh EH14 4AS, Midlothian, Scotland

来源：

JOURNAL OF COMPUTATIONAL SCIENCE | 2018年 / 26卷

关键词：

Gene regulatory network; Boolean network; Control system; Evolutionary algorithm; MODELS; CONTROLLABILITY; DYNAMICS; SYSTEMS;

D O I：

10.1016/j.jocs.2018.04.012

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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 biology is to control the dynamics of GRNs, in order to push a cell towards or away from certain behaviours. This could potentially be done by coupling a synthetic GRN to an existing biological GRN. In this work, we use Boolean networks, a methodology for modelling and simulating GRNs, to investigate the potential for doing this. Our results demonstrate that Boolean networks can be optimised to control other Boolean networks, and that the approach scales well as the target network size increases. (C) 2018 Elsevier B.V. All rights reserved.

引用

页码：147 / 156

页数：10

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