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dc.contributor.authorFadhal, Emad
dc.contributor.authorGamieldien, Junaid
dc.contributor.authorMwambene, Eric
dc.date.accessioned2015-09-21T14:01:27Z
dc.date.available2015-09-21T14:01:27Z
dc.date.issued2015
dc.identifier.citationFadhal, E., (2015). Self-similarity of human protein interaction networks: a novel strategy of distinguishing proteins. Scientific Reports, 5: 7628en_US
dc.identifier.issn2045-2322
dc.identifier.urihttp://hdl.handle.net/10566/1652
dc.description.abstractThe successful determination of reliable protein interaction networks (PINs) in several species in the post-genomic era has hitherto facilitated the quest to understanding systems and structural properties of such networks. It is envisaged that a clearer understanding of their intrinsic topological properties would elucidate evolutionary and biological topography of organisms. This, in turn, may inform the understanding of diseases’ aetiology. By analysing sub-networks that are induced in various layers identified by zones defined as distance from central proteins, we show that zones of human PINs display self-similarity patterns. What is observed at a global level is repeated at lower levels of inducement. Furthermore, it is observed that these levels of strength point to refinement and specialisations in these layers. This may point to the fact that various levels of representations in the self-similarity phenomenon offer a way of measuring and distinguishing the importance of proteins in the network. To consolidate our findings, we have also considered a gene co-expression network and a class of gene regulatory networks in the same framework. In all cases, the phenomenon is significantly evident. In particular, the truly unbiased regulatory networks show finer level of articulation of self-similarity.en_US
dc.language.isoenen_US
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial- ShareAlike 4.0 International License.
dc.source.urihttp://dx.doi.org/10.1038/srep07628
dc.subjectProtein interaction networks (PINs)en_US
dc.subjectDisease aetiologyen_US
dc.subjectGene regulatory networken_US
dc.subjectPost-genomic eraen_US
dc.titleSelf-similarity of human protein interaction networks: a novel strategy of distinguishing proteinsen_US
dc.typeArticleen_US
dc.privacy.showsubmitterfalse
dc.status.ispeerreviewedtrue
dc.description.accreditationWeb of Scienceen_US


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