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Título

Do scale-free regulatory networks allow more expression than random ones?

AutorFortuna, Miguel A. ; Melián, Carlos J.
Palabras claveComplex networks
Gene networks
Network assembly
Regulatory interactions
Transcriptional regulatory networks
Fecha de publicación2007
EditorElsevier
CitaciónJournal of Theoretical Biology, 247: 331-336 (2007)
ResumenIn 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
Versión del editorhttp://dx.doi.org/10.1016/j.jtbi.2007.03.017
URIhttp://hdl.handle.net/10261/51968
DOI10.1016/j.jtbi.2007.03.017
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