Structure and dynamics of a gene network model incorporating small RNAs
Structure and dynamics of a gene network model incorporating small RNAs
As the genomes of an increasing number of organisms continue to be sequenced, the challenge remains to develop computational models of genetic systems that keep abreast of the latest discoveries in molecular biology. A recent theory proposed by Mattick and colleagues suggests that eukaryotic organisms may owe their increased phenotypic complexity and diversity to the exploitation of small RNAs as an additional class of signalling molecules. Previous models of genetic systems are, for several reasons, inadequate to investigate this theory. In this study, we present an Artificial Genome model of genetic regulatory networks based upon that introduced by Torsten Reil, and demonstrate how this model generates networks with biologically plausible structural properties. We also use the model to explore the implications of incorporating regulation by small RNA molecules in a gene network. We demonstrate how, if these additional signals operate at an increased rate with respect to the primary protein signals, highly connected networks can display dynamics that are more stable than expected given their level of connectivity.
gene regulatory networks, small RNAs
0-7803-7804-0
199-206
Geard, N L
c8d726f5-9161-4c9e-9f3f-d87d4ceed9fa
Wiles, J
4b566453-d3c4-441a-97bd-404c378d1f67
2003
Geard, N L
c8d726f5-9161-4c9e-9f3f-d87d4ceed9fa
Wiles, J
4b566453-d3c4-441a-97bd-404c378d1f67
Geard, N L and Wiles, J
(2003)
Structure and dynamics of a gene network model incorporating small RNAs.
Sarker, R, Reynolds, R, Abbass, H, Tan, K-C, McKay, R, Essam, D and Gedeon, T
(eds.)
In Proceedings of the 2003 Congress on Evolutionary Computation, CEC 2003, Volume 1.
IEEE Press.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
As the genomes of an increasing number of organisms continue to be sequenced, the challenge remains to develop computational models of genetic systems that keep abreast of the latest discoveries in molecular biology. A recent theory proposed by Mattick and colleagues suggests that eukaryotic organisms may owe their increased phenotypic complexity and diversity to the exploitation of small RNAs as an additional class of signalling molecules. Previous models of genetic systems are, for several reasons, inadequate to investigate this theory. In this study, we present an Artificial Genome model of genetic regulatory networks based upon that introduced by Torsten Reil, and demonstrate how this model generates networks with biologically plausible structural properties. We also use the model to explore the implications of incorporating regulation by small RNA molecules in a gene network. We demonstrate how, if these additional signals operate at an increased rate with respect to the primary protein signals, highly connected networks can display dynamics that are more stable than expected given their level of connectivity.
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Published date: 2003
Venue - Dates:
2003 Congress on Evolutionary Computation, Canberra, Australia, 2003-01-01
Keywords:
gene regulatory networks, small RNAs
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 264205
URI: http://eprints.soton.ac.uk/id/eprint/264205
ISBN: 0-7803-7804-0
PURE UUID: 54966d1e-1321-48fd-b067-7519cad08aea
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Date deposited: 19 Jun 2007
Last modified: 14 Mar 2024 07:44
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Contributors
Author:
N L Geard
Author:
J Wiles
Editor:
R Sarker
Editor:
R Reynolds
Editor:
H Abbass
Editor:
K-C Tan
Editor:
R McKay
Editor:
D Essam
Editor:
T Gedeon
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