Abstract
Cellular systems are organized as a complex web of interactions among numerous macromolecules. Among the others, proteins are important since they play important role in virtually every biological process that occurs in the cell. Cellular systems are constantly challenged by fluctuations in the surrounding environment. In response, repertoire of the protein contents in the cell constantly alters, accordingly the interactions among them. Mathematically, these protein–protein interactions (PPIs) can be conceptualized in the form of graph or network for ease in analysis. A node in the graph represents protein and its link with other node is represented by edge. The local and global topological properties of the network reveal organization principles of underlying interactions among total proteins of an organism. The local properties specify importance of a particular protein in the network whereas global properties reflect their organization operational in the cell. Over the years, several graph theoretic and clustering techniques proposed for analysis of complex physical world have been applied to understand dynamic organization of the cellular networks. These methods promise to become more informative as the high quality PPI networks increase by orders of magnitude. This chapter provides an overview on various topological properties of networks and their significance in understanding biological systems.
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© 2013 Vijaykumar Yogesh Muley
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Muley, V.Y., Acharya, V. (2013). Analyses of Complex Genome-Scale Biological Networks. In: Genome-Wide Prediction and Analysis of Protein-Protein Functional Linkages in Bacteria. SpringerBriefs in Systems Biology, vol 2. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4705-4_5
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