Exploiting locational and topological overlap model to identify modules in protein interaction networks.

ABSTRACT:

Background

Clustering molecular network is a typical method in system biology, which is effective in predicting protein complexes or functional modules. However, few studies have realized that biological molecules are spatial-temporally regulated to form a dynamic cellular network and only a subset of interactions take place at the same location in cells.

Results

In this study, considering the subcellular localization of proteins, we first construct a co-localization human protein interaction network (PIN) and systematically investigate the relationship between subcellular localization and biological functions. After that, we propose a Locational and Topological Overlap Model (LTOM) to preprocess the co-localization PIN to identify functional modules. LTOM requires the topol

SUBMITTER: Cheng L 

PROVIDER: S-EPMC6332531 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature