German scientists describe a new methodology for analyzing and representing complicated protein networks in a paper published recently in PLoS Computational Biology. Called Power Graphs, this technique reduces complexity by "explicitly representing re-occurring network motifs," and can be applied to all types of networks, including protein-protein interactions, regulatory, and homology networks.