Artificial gene regulatory networks-a review

Item Type:	Review
Title:	Artificial gene regulatory networks-a review
Creators Name:	Cussat-Blanc, S. and Harrington, K. and Banzhaf, W.
Abstract:	In nature, gene regulatory networks are a key mediator between the information stored in the DNA of living organisms (their genotype) and the structural and behavioral expression this finds in their bodies, surviving in the world (their phenotype). They integrate environmental signals, steer development, buffer stochasticity, and allow evolution to proceed. In engineering, modeling and implementations of artificial gene regulatory networks have been an expanding field of research and development over the past few decades. This review discusses the concept of gene regulation, describes the current state of the art in gene regulatory networks, including modeling and simulation, and reviews their use in artificial evolutionary settings. We provide evidence for the benefits of this concept in natural and the engineering domains.
Keywords:	Gene Regulatory Networks, Evolutionary Algorithms, Morphogenesis, Controldynamics, Neuromodulation
Source:	Artificial Life
ISSN:	1530-9185
Publisher:	MIT Press
Volume:	24
Number:	4
Page Range:	296-328
Date:	2018
Official Publication:	https://doi.org/10.1162/artl_a_00267
PubMed:	View item in PubMed

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