Functionally guided alignment of protein interaction networks for module detection.

ABSTRACT:

Motivation

Functional module detection within protein interaction networks is a challenging problem due to the sparsity of data and presence of errors. Computational techniques for this task range from purely graph theoretical approaches involving single networks to alignment of multiple networks from several species. Current network alignment methods all rely on protein sequence similarity to map proteins across species.

Results

Here we carry out network alignment using a protein functional similarity measure. We show that using functional similarity to map proteins across species improves network alignment in terms of functional coherence and overlap with experimentally verified protein complexes. Moreover, the results from functional similarity-based network alignment dis

SUBMITTER: Ali W 

PROVIDER: S-EPMC2778333 | biostudies-literature | 2009 Dec

REPOSITORIES: biostudies-literature