Do scale-free regulatory networks allow more expression than random ones?
J Theor Biol
; 247(2): 331-6, 2007 Jul 21.
Article
em En
| MEDLINE
| ID: mdl-17452043
ABSTRACT
In this paper, we compile the network of software packages with regulatory interactions (dependences and conflicts) from Debian GNU/Linux operating system and use it as an analogy for a gene regulatory network. Using a trace-back algorithm we assemble networks from the pool of packages with both scale-free (real data) and exponential (null model) topologies. We record the maximum number of packages that can be functionally installed in the system (i.e., the active network size). We show that scale-free regulatory networks allow a larger active network size than random ones. This result might have implications for the number of expressed genes at steady state. Small genomes with scale-free regulatory topologies could allow much more expression than large genomes with exponential topologies. This may have implications for the dynamics, robustness and evolution of genomes.
Buscar no Google
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Redes Reguladoras de Genes
/
Modelos Genéticos
Limite:
Animals
Idioma:
En
Ano de publicação:
2007
Tipo de documento:
Article