Evolving Boolean regulatory networks with variable gene expression times

Bull, Lawrence

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.

Citation

Bull, L. (2021). Evolving Boolean regulatory networks with variable gene expression times. In Handbook of Unconventional Computing (247-259). World Scientific Publishing. https://doi.org/10.1142/9789811235726_0007

• Acceptance Date: May 5, 2021
• 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