Recent genome-wide high-throughput (HTS) analyses of protein-protein interactions (PPIs) provide molecular-based information to uncover functions of cells and tissues, such as those of the mammalian brain. However, the HTS PPI data contain much false-negatives and false-positives, which should be primarily addressed in experiments. Integrating PPI data sets with other genome-wide data, such as expression profiles and phenotype data sets, provides novel biological insights. Such integration analysis is valuable for addressing the complexity of the mammalian brain. Discovery of novel interactions followed by a detailed analysis is a successful approach to uncover the function of proteins. For example, extensive PPI screens for parkin, a hereditary Parkinson's disease gene, elucidated the function of parkin as an E3 ubiquitin ligase, with localization and activity regulated by contact with its interaction partners, uncovering at least a part of the molecular pathogenesis of Parkinson's disease.