PrePPI: structure-based prediction of protein-protein interactions

PrePPI is a database of predicted and experimentally determined protein-protein interactions (PPIs) for yeast and human. Predicted interactions are assigned a likelihood using a Bayesian framework that combines structural, functional, evolutionary and expression information. The database contains ~2 million predictions including 31,402 for yeast and 317,813 for human that are considered high confidence based on our analysis. Experimentally determined interactions are compiled from a set of public databases (e.g., DIP, IntAct, HPRD, etc). The manuscript "Structure-based prediction of protein-protein interactions on a genome-wide scale" that describes the complete method will be available soon.