Affiliation:
1. University of Toulouse, IRIT - CNRS - UMR5505.
2. University of Idaho, Computational and Physical Systems Group, Virtual Technology and Design.
3. Michigan State University, BEACON Center for the Study of Evolution in Action, Department of Computer Science and Engineering.
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.
Subject
Artificial Intelligence,General Biochemistry, Genetics and Molecular Biology
Cited by
26 articles.
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