Artificial Gene Regulatory Networks—A Review
Author(s) -
Sylvain CussatBlanc,
Kyle Harrington,
Wolfgang Banzhaf
Publication year - 2019
Publication title -
artificial life
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.305
H-Index - 57
eISSN - 1530-9185
pISSN - 1064-5462
DOI - 10.1162/artl_a_00267
Subject(s) - gene regulatory network , computer science , key (lock) , mechanism (biology) , biology , computational biology , gene , artificial intelligence , gene expression , ecology , genetics , philosophy , epistemology
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.
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