%0 Journal Article %1 Joshi2011Enrichment %A Joshi, Anagha %A Nachtergaele, Bruno %A Peer, Yves V. %D 2011 %I The Royal Society of Chemistry %J Mol. BioSyst. %K design-principles %N 10 %P 2769--2778 %R 10.1039/c1mb05241a %T Enrichment and aggregation of topological motifs are independent organizational principles of integrated interaction networks %U http://dx.doi.org/10.1039/c1mb05241a %V 7 %X Topological network motifs represent functional relationships within and between regulatory and protein-protein interaction networks. Enriched motifs often aggregate into self-contained units forming functional modules. Theoretical models for network evolution by duplication-divergence mechanisms and for network topology by hierarchical scale-free networks have suggested a one-to-one relation between network motif enrichment and aggregation, but this relation has never been tested quantitatively in real biological interaction networks. Here we introduce a novel method for assessing the statistical significance of network motif aggregation and for identifying clusters of overlapping network motifs. Using an integrated network of transcriptional, posttranslational and protein-protein interactions in yeast we show that network motif aggregation reflects a local modularity property which is independent of network motif enrichment. In particular our method identified novel functional network themes for a set of motifs which are not enriched yet aggregate significantly and challenges the conventional view that network motif enrichment is the most basic organizational principle of complex networks.

@article{Joshi2011Enrichment, abstract = {Topological network motifs represent functional relationships within and between regulatory and protein-protein interaction networks. Enriched motifs often aggregate into self-contained units forming functional modules. Theoretical models for network evolution by duplication-divergence mechanisms and for network topology by hierarchical scale-free networks have suggested a one-to-one relation between network motif enrichment and aggregation, but this relation has never been tested quantitatively in real biological interaction networks. Here we introduce a novel method for assessing the statistical significance of network motif aggregation and for identifying clusters of overlapping network motifs. Using an integrated network of transcriptional, posttranslational and protein-protein interactions in yeast we show that network motif aggregation reflects a local modularity property which is independent of network motif enrichment. In particular our method identified novel functional network themes for a set of motifs which are not enriched yet aggregate significantly and challenges the conventional view that network motif enrichment is the most basic organizational principle of complex networks.}, added-at = {2018-12-02T16:09:07.000+0100}, author = {Joshi, Anagha and Nachtergaele, Bruno and Peer, Yves V.}, biburl = {https://www.bibsonomy.org/bibtex/23cf57cb46136e2f93989c8cb0843fc6b/karthikraman}, citeulike-article-id = {10080974}, citeulike-linkout-0 = {http://dx.doi.org/10.1039/c1mb05241a}, citeulike-linkout-1 = {http://www.rsc.org/Publishing/Journals/article.asp?doi=C1MB05241A}, doi = {10.1039/c1mb05241a}, interhash = {0d739816ecadffe8836337b117de13ef}, intrahash = {3cf57cb46136e2f93989c8cb0843fc6b}, journal = {Mol. BioSyst.}, keywords = {design-principles}, number = 10, pages = {2769--2778}, posted-at = {2011-11-29 09:20:46}, priority = {2}, publisher = {The Royal Society of Chemistry}, timestamp = {2018-12-02T16:09:07.000+0100}, title = {Enrichment and aggregation of topological motifs are independent organizational principles of integrated interaction networks}, url = {http://dx.doi.org/10.1039/c1mb05241a}, volume = 7, year = 2011 }