Identification of protein complexes from co-immunoprecipitation data.

ABSTRACT:

Motivation

Advanced technologies are producing large-scale protein-protein interaction data at an ever increasing pace. A fundamental challenge in analyzing these data is the inference of protein machineries. Previous methods for detecting protein complexes have been mainly based on analyzing binary protein-protein interaction data, ignoring the more involved co-complex relations obtained from co-immunoprecipitation experiments.

Results

Here, we devise a novel framework for protein complex detection from co-immunoprecipitation data. The framework aims at identifying sets of preys that significantly co-associate with the same set of baits. In application to an array of datasets from yeast, our method identifies thousands of protein complexes. Comparing these complexes to manu

SUBMITTER: Geva G 

PROVIDER: S-EPMC3008648 | biostudies-literature | 2011 Jan

REPOSITORIES: biostudies-literature