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Evolving Boolean regulatory networks with variable gene expression times

Bull, Lawrence

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Authors

Lawrence Bull Larry.Bull@uwe.ac.uk
School Director (Research & Enterprise) and Professor



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 can be beneficial in the shaping of the dynamical behaviour of the regulatory network without explicit consideration of protein function.

Publication Date 2021
Deposit Date May 12, 2021
Publicly Available Date Jan 1, 2023
Publisher World Scientific Publishing
Pages 247-259
Book Title Handbook of Unconventional Computing
Chapter Number 7
DOI https://doi.org/10.1142/9789811235726_0007
Public URL https://uwe-repository.worktribe.com/output/7338696
Publisher URL https://www.worldscientific.com/doi/10.1142/9789811235726_0007
Related Public URLs https://www.worldscientific.com/worldscibooks/10.1142/12232-vol1#t=aboutBook
Contract Date May 5, 2021

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