The biomedical & life sciences collection. · 2013 · 176 citations · 142 references
Life SciencesBiochemistryMolecular BiologyNetwork BiologyProtein-protein InteractionsStructural BiologyIntrinsic DisorderIntrinsically Disordered ProteinsProtein Interaction DomainsProtein StructureProtein-protein Interaction NetworksComplex NetworksDisordered LinkersDisordered ProteinsIntrinsic Disorder AnalysisIntrinsic Disorder PropensityIntrinsically Disordered DomainsProtein Complex NetworksProtein Disorder Propensity
Proteins participate in complex sets of interactions that represent the mechanistic foundation for much of the physiology and function of the cell. These protein–protein interactions are organized into exquisitely complex networks. The architecture of protein–protein interaction networks was recently proposed to be scale-free, with most of the proteins having only one or two connections but with relatively fewer ‘hubs’ possessing tens, hundreds or more links. The high level of hub connectivity must somehow be reflected in protein structure. What structural quality of hub proteins enables them to interact with large numbers of diverse targets? One possibility would be to employ binding regions that have the ability to bind multiple, structurally diverse partners. This trait can be imparted by the incorporation of intrinsic disorder in one or both partners. To illustrate the value of such contributions, this review examines the roles of intrinsic disorder in protein network architecture. We show that there are three general ways that intrinsic disorder can contribute: First, intrinsic disorder can serve as the structural basis for hub protein promiscuity; secondly, intrinsically disordered proteins can bind to structured hub proteins; and thirdly, intrinsic disorder can provide flexible linkers between functional domains with the linkers enabling mechanisms that facilitate binding diversity. An important research direction will be to determine what fraction of protein– protein interaction in regulatory networks relies on intrinsic disorder.
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Collective dynamics of ‘small-world’ networks
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