Prediction of protein-binding areas by small-world residue networks and application to docking.

ABSTRACT:

Background

Protein-protein interactions are involved in most cellular processes, and their detailed physico-chemical and structural characterization is needed in order to understand their function at the molecular level. In-silico docking tools can complement experimental techniques, providing three-dimensional structural models of such interactions at atomic resolution. In several recent studies, protein structures have been modeled as networks (or graphs), where the nodes represent residues and the connecting edges their interactions. From such networks, it is possible to calculate different topology-based values for each of the nodes, and to identify protein regions with high centrality scores, which are known to positively correlate with key functional residues, hot spots, and

SUBMITTER: Pons C 

PROVIDER: S-EPMC3189935 | biostudies-literature | 2011 Sep

REPOSITORIES: biostudies-literature