Predicting multiplex subcellular localization of proteins using protein-protein interaction network: a comparative study.

ABSTRACT:

Background

Proteins that interact in vivo tend to reside within the same or "adjacent" subcellular compartments. This observation provides opportunities to reveal protein subcellular localization in the context of the protein-protein interaction (PPI) network. However, so far, only a few efforts based on heuristic rules have been made in this regard.

Results

We systematically and quantitatively validate the hypothesis that proteins physically interacting with each other probably share at least one common subcellular localization. With the result, for the first time, four graph-based semi-supervised learning algorithms, Majority, χ2-score, GenMultiCut and FunFlow originally proposed for protein function prediction, are introduced to assign "multiplex localization" to proteins

SUBMITTER: Jiang JQ 

PROVIDER: S-EPMC3314587 | biostudies-literature | 2012 Jun

REPOSITORIES: biostudies-literature