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  • Functional topology in a network of protein interactions
    Pržulj, Nataša, 1973- ; Wigle, D. A. ; Jurisica, I.
    Motivation: The building blocks of biological networks are individual protein-protein interactions (PPIs). The cumulative PPI data set in Saccharomyces cerevisiae now exceeds 78 000. Studying the ... network of these interactions will provide valuable insight into the inner workings of cells. Results:We performed a systematic graph theory-based analysis of this PPI network to construct computational models for describing and predicting the properties of lethal mutations and proteins participating in genetic interactions, functional groups, protein complexes and signaling pathways. Ouranalysis suggests that lethal mutations are not only highly connected within the network, but they also satisfy an additional property: their removal causes a disruption in network structure. We also provide evidence forthe existence of alternate paths that bypass viable proteins in PPI networks, while such paths do not exist for lethal mutations. In addition, we show that distinct functional classes of proteins have differing network properties.We also demonstrate a way to extract and iteratively predict protein complexes and signaling pathways. We evaluate the power of predictionsby comparing them with a random model, and assess accuracy of predictions by analyzing their overlap with MIPS database. Conclusions: Our models provide a means for understanding the complex wiring underlying cellular function, and enable us to predict essentiality, genetic interaction,function, protein complexes and cellular pathways. This analysis uncovers structure-function relationships observable in a large PPI network.
    Source: Bioinformatics. - ISSN 1367-4803 (Vol. 20, no. 3, 2004, str. 340-348)
    Type of material - article, component part ; adult, serious
    Publish date - 2004
    Language - english
    COBISS.SI-ID - 1024350785

source: Bioinformatics. - ISSN 1367-4803 (Vol. 20, no. 3, 2004, str. 340-348)
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