TY - GEN
T1 - Quantifying the dynamics of coupled networks of switches and oscillators
AU - Francis, Matthew R.
AU - Fertig, Elana J.
PY - 2012
Y1 - 2012
N2 - Introduction: The dynamics in systems ranging from intercellular gene regulation to organogenesis are driven by complex interactions (represented as edges) in subcomponents (represented as nodes) in networks. For example, models of coupled switches have been applied to model systems such as neuronal synapses and gene regulatory networks. Similarly, models of coupled oscillators along networks have been used to model synchronization of oscillators which has been observed in synthetic oscillatory fluorescent bacteria, yeast gene regulatory networks, and human cell fate decisions. Moreover, several studies have inferred that biochemical systems contain "network motifs" with both oscillatory and switch-like dynamics. The dynamics of these motifs have been used to model yeast cell cycle regulation and have been further confirmed in synthetic, designed biochemical circuits. Because these heterogeneous network motifs are all identified as components within a single biochemical network, their interactions must drive the global dynamics of the network. Here, we formulate a theory for the network-level dynamics that result from coupling oscillatory and switch-like components have not been studied comprehensively previously.
AB - Introduction: The dynamics in systems ranging from intercellular gene regulation to organogenesis are driven by complex interactions (represented as edges) in subcomponents (represented as nodes) in networks. For example, models of coupled switches have been applied to model systems such as neuronal synapses and gene regulatory networks. Similarly, models of coupled oscillators along networks have been used to model synchronization of oscillators which has been observed in synthetic oscillatory fluorescent bacteria, yeast gene regulatory networks, and human cell fate decisions. Moreover, several studies have inferred that biochemical systems contain "network motifs" with both oscillatory and switch-like dynamics. The dynamics of these motifs have been used to model yeast cell cycle regulation and have been further confirmed in synthetic, designed biochemical circuits. Because these heterogeneous network motifs are all identified as components within a single biochemical network, their interactions must drive the global dynamics of the network. Here, we formulate a theory for the network-level dynamics that result from coupling oscillatory and switch-like components have not been studied comprehensively previously.
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U2 - 10.1007/978-3-642-29627-7_6
DO - 10.1007/978-3-642-29627-7_6
M3 - Conference contribution
AN - SCOPUS:84860810733
SN - 9783642296260
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 60
EP - 61
BT - Research in Computational Molecular Biology - 16th Annual International Conference, RECOMB 2012, Proceedings
T2 - 16th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2012
Y2 - 21 April 2012 through 24 April 2012
ER -