Predicting and validating protein interactions using network structure.

ABSTRACT: Protein interactions play a vital part in the function of a cell. As experimental techniques for detection and validation of protein interactions are time consuming, there is a need for computational methods for this task. Protein interactions appear to form a network with a relatively high degree of local clustering. In this paper we exploit this clustering by suggesting a score based on triplets of observed protein interactions. The score utilises both protein characteristics and network properties. Our score based on triplets is shown to complement existing techniques for predicting protein interactions, outperforming them on data sets which display a high degree of clustering. The predicted interactions score highly against test measures for accuracy. Compared to a similar score derive

SUBMITTER: Chen PY 

PROVIDER: S-EPMC2435280 | biostudies-literature | 2008 Jul

REPOSITORIES: biostudies-literature