MTGO: PPI Network Analysis Via Topological and Functional Module Identification.

ABSTRACT: Protein-protein interaction (PPI) networks are viable tools to understand cell functions, disease machinery, and drug design/repositioning. Interpreting a PPI, however, it is a particularly challenging task because of network complexity. Several algorithms have been proposed for an automatic PPI interpretation, at first by solely considering the network topology, and later by integrating Gene Ontology (GO) terms as node similarity attributes. Here we present MTGO - Module detection via Topological information and GO knowledge, a novel functional module identification approach. MTGO let emerge the bimolecular machinery underpinning PPI networks by leveraging on both biological knowledge and topological properties. In particular, it directly exploits GO terms during the module assembling pro

SUBMITTER: Vella D 

PROVIDER: S-EPMC5882952 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature