On the evolution of Boolean networks for computation: A guide RNA mechanism

Bull, Larry

Abstract

© 2015 Taylor & Francis. There is a growing body of work within computational intelligence which explores the use of representations inspired by the genetic regulatory networks of biological cells. This paper uses a recently presented abstract, tunable model of such networks to investigate how their design through simulated evolution is affected through the ability to dynamically rewire connectivity. The contextual editing of transcribed RNA by other molecules such that the form of the final product differs from that specified in the corresponding DNA sequence is ubiquitous. It is here shown that a guide RNA-inspired editing mechanism can be selected for under various scenarios.

• Journal Article Type: Article
• Acceptance Date: May 26, 2015
• Online Publication Date: Jul 15, 2015
• Publication Date: Mar 3, 2016
• Deposit Date: Jun 17, 2015
• Publicly Available Date: Jul 15, 2016
• Journal: International Journal of Parallel, Emergent and Distributed Systems
• Print ISSN: 1744-5760
• Electronic ISSN: 1744-5779
• Publisher: Taylor & Francis
• Peer Reviewed: Peer Reviewed
• Volume: 31
• Issue: 2
• Pages: 101-113
• DOI: https://doi.org/10.1080/17445760.2015.1057590
• Keywords: evolution, Boolean network
• Public URL: https://uwe-repository.worktribe.com/output/909697
• Publisher URL: http://dx.doi.org/10.1080/17445760.2015.1057590
• Additional Information: Additional Information : This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Parallel, Emergent and Distributed Systems on 15 July 2015, available online: http://wwww.tandfonline.com/10.1080/17445760.2015.1057590
• Contract Date: Mar 22, 2016