Dynamic Properties of Network Motifs Contribute to Biological Network Organization

By Robert J. Prill, Pablo A. Iglesias, Andre Levchenko. PLoS Biology, 2005

411 citations recorded by the source corpus.

Biological networks, such as those describing gene regulation, signal transduction, and neural synapses, are representations of large-scale dynamic systems. Discovery of organizing principles of biological networks can be enhanced by embracing the notion that there is a deep interplay between network structure and system dynamics. Recently, many structural characteristics of these non-random networks have been identified, but dynamical implications of the features have not been explored comprehensively. We demonstrate by exhaustive computational analysis that a dynamical property—stability or robustness to small perturbations—is highly correlated with the relative abundance of small subnetworks (network motifs) in several previously determined biological networks. We propose that robust dynamical stability is an influential property that can determine the non-random structure of biological networks.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/6ed679cb14b1d76923c43f84990ea9dd9fed55bc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

Citations in the corpus

Network ‘Small-World-Ness’: A Quantitative Method for Determining Canonical Network Equivalence (2008, background): “Nonetheless, given that so many of the key motifs identified so far are either complete 3-node loops or contain them [37,38], the global topology will have a high clustering coefficient, and will most likely be a small-world network.”
Analysis of Biological Networks (2008, methodology): “A modification of the original PageRank algorithm, called GeneRank, was recently described [36].”
Controlling edge dynamics in complex networks (2011, background): “Considerably less attention has been dedicated to the various types of network dynamics [19,34,46,52] and even less to the problem of controllability [33, 53, 63], i.”