Study of Protein-Protein Interactions from Multiple Data Sources

Abstract

The objective of this paper is twofold. First is to provide a survey of computational methods for protein-protein interaction (PPI) study. Second is to introduce our work and results in using inductive logic programming to learn prediction rules for PPI and DDI (domain-domain interactions) from multiple data sources. We show advantages of ex-ploiting various types of data in these important problems of bioinformatics.