Features analysis for identification of date and party hubs in protein interaction network of Saccharomyces Cerevisiae |
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| Authors: | Mitra Mirzarezaee Babak N Araabi Mehdi Sadeghi |
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| Affiliation: | 1.Department of Computer Engineering,Islamic Azad University, Science and Research Branch,Tehran,Iran;2.Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering,University of Tehran,Tehran,Iran;3.School of Cognitive Sciences,Institute for Research in Fundamental Sciences, IPM,Tehran,Iran;4.National Institute of Genetic Engineering and Biotechnology (NIGEB),Tehran,Iran;5.School of Computer Sciences,Institute for Research in Fundamental Sciences, IPM,Tehran,Iran |
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| Abstract: | Background It has been understood that biological networks have modular organizations which are the sources of their observed complexity. Analysis of networks and motifs has shown that two types of hubs, party hubs and date hubs, are responsible for this complexity. Party hubs are local coordinators because of their high co-expressions with their partners, whereas date hubs display low co-expressions and are assumed as global connectors. However there is no mutual agreement on these concepts in related literature with different studies reporting their results on different data sets. We investigated whether there is a relation between the biological features of Saccharomyces Cerevisiae 's proteins and their roles as non-hubs, intermediately connected, party hubs, and date hubs. We propose a classifier that separates these four classes. |
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