Predicting domain-domain interactions using a parsimony approach.

ABSTRACT: We propose a novel approach to predict domain-domain interactions from a protein-protein interaction network. In our method we apply a parsimony-driven explanation of the network, where the domain interactions are inferred using linear programming optimization, and false positives in the protein network are handled by a probabilistic construction. This method outperforms previous approaches by a considerable margin. The results indicate that the parsimony principle provides a correct approach for detecting domain-domain contacts.

SUBMITTER: Guimaraes KS 

PROVIDER: S-EPMC1794579 | biostudies-literature | 2006

REPOSITORIES: biostudies-literature