Systematic mapping of protein-protein interactions (PPIs) has become a central task of functional genomics. To map the human interactome, several strategies have recently been pursued. The generated interaction datasets are valuable resources for scientists in biology and medicine. However, comparison reveals limited overlap between different interaction networks. This divergence obstructs usability, as researchers have to interrogate numerous heterogeneous datasets to identify potential interaction partners for proteins of interest. To facilitate direct access through a single entry gate, we have started to integrate currently available human protein interaction data in an easily accessible online database, called UniHI (Unified Human Interactome).UniHI provides researchers with a flexible integrated tool for the exploration of the human interactome. It enables the assembly of comprehensive lists of protein interactions and flexible network-orientated searching. Network structures can be identified which would not be detectable if single maps were analyzed separately. For highly targeted search, UniHI offers several tools to specify the displayed interactions. Also, scores for quality assessment are given based on co-annotation and co-expression of the interacting proteins. Various hyperlinks to other databases facilitate users to follow-up results retrieved in UniHI.
metabolic and signaling pathways protein-protein interactions