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

Bull, Larry

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Authors

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



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.

Citation

Bull, L. (2016). On the evolution of Boolean networks for computation: A guide RNA mechanism. International Journal of Parallel, Emergent and Distributed Systems, 31(2), 101-113. https://doi.org/10.1080/17445760.2015.1057590

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 Mar 29, 2024
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

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