Intra–molecular interactions within complex systems play a pivotal role in the biological function. They form a
major challenge to computational structural proteomics. The network paradigm treats any system as a set of nodes linked
by edges corresponding to the relations existing between the nodes. It offers a computationally efficient tool to meet this
challenge. Here, we review the recent advances in the use of network theory to study the topology and dynamics of protein–
ligand and protein–nucleic acid complexes. The study of protein complexes networks not only involves the topological
classification in term of network parameters, but also reveals the consistent picture of intrinsic functional dynamics.
Current dynamical analysis focuses on a plethora of functional phenomena: the process of allosteric communication, the
binding induced conformational changes, prediction and identification of binding sites of protein complexes, which will
give insights into intra–protein complexes interactions. Furthermore, such computational results may elucidate a variety of
known biological processes and experimental data, and thereby demonstrate a huge potential for applications such as drug
design and functional genomics. Finally we describe some web–based resources for protein complexes, as well as protein
network servers and related bioinformatics tools.
Keywords: Allosteric communication paths, binding sites prediction, conformational changes, network theory, protein–ligand
interactions, protein-nucleic acid interactions
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