Abstract
While most of the works on functional annotation of proteins via their network of interactions are exclusively based in topological measurements from the properties of the protein interaction network (PIN), we propose the application of an algorithm based on the synchronization behavior emerging from a modular network organization. The method relies on how phase oscillators organize in a network structure of dynamical interactions, and on a recently proposed technique for the identifaction of synchronization interfaces and overlapping communities [5] in ensembles of networking dynamical systems. The combination of the synchronization behavior of the PIN structure and an initial modular classification of proteins allows for protein function predictions of those proteins lying at the overlapping interface that are in agreement with predictions obtained by other methods.
Original language | English |
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Pages (from-to) | 5-9 |
Number of pages | 5 |
Journal | International journal of complex systems in science |
Volume | 1 |
State | Published - 2011 |