Evolving Boolean Regulatory Networks with Variable Gene Expression Times
Biomolecules
2016-03-16 v2 Neural and Evolutionary Computing
Molecular Networks
Abstract
The time taken for gene expression varies not least because proteins vary in length considerably. This paper uses an abstract, tuneable Boolean regulatory network model to explore gene expression time variation. In particular, it is shown how non-uniform expression times can emerge under certain conditions through simulated evolution. That is, gene expression time variance appears beneficial in the shaping of the dynamical behaviour of the regulatory network without explicit consideration of protein function.
Cite
@article{arxiv.1603.01185,
title = {Evolving Boolean Regulatory Networks with Variable Gene Expression Times},
author = {Larry Bull},
journal= {arXiv preprint arXiv:1603.01185},
year = {2016}
}
Comments
arXiv admin note: text overlap with arXiv:1505.01980, arXiv:1306.4793, arXiv:1303.7220, arXiv:1310.5568