Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/10385
Title: Bridging topological and functional information in protein interaction networks by short loops profiling
Authors: Chung, SS
Pandini, A
Annibale, A
Coolen, ACC
Thomas, NSB
Fraternali, F
Keywords: Computer science;Network topology
Issue Date: 2015
Publisher: Nature Publishing Group
Citation: Scientific Reports, 5: 8540, ( 23 February 2015)
Abstract: Protein-protein interaction networks (PPINs) have been employed to identify potential novel interconnections between proteins as well as crucial cellular functions. In this study we identify fundamental principles of PPIN topologies by analysing network motifs of short loops, which are small cyclic interactions of between 3 and 6 proteins. We compared 30 PPINs with corresponding randomised null models and examined the occurrence of common biological functions in loops extracted from a cross-validated high-confidence dataset of 622 human protein complexes. We demonstrate that loops are an intrinsic feature of PPINs and that specific cell functions are predominantly performed by loops of different lengths. Topologically, we find that loops are strongly related to the accuracy of PPINs and define a core of interactions with high resilience. The identification of this core and the analysis of loop composition are promising tools to assess PPIN quality and to uncover possible biases from experimental detection methods. More than 96% of loops share at least one biological function, with enrichment of cellular functions related to mRNA metabolic processing and the cell cycle. Our analyses suggest that these motifs can be used in the design of targeted experiments for functional phenotype detection.
URI: http://www.nature.com/srep/2015/150223/srep08540/full/srep08540.html
http://bura.brunel.ac.uk/handle/2438/10385
DOI: http://dx.doi.org/10.1038/srep08540
ISSN: 2045-2322
Appears in Collections:Dept of Computer Science Research Papers

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