Recommendation techniques for drug–target interaction prediction and drug repositioning

The usage of computational methods in drug discovery is a common practice. More recently, by exploiting the wealth of biological knowledge-bases, a novel approach called Drug-Repositioning has raised. Several computational methods are available, and these try to make a high level integration of all the knowledge in order to discover unknown mechanisms. In this chapter we review drug-target interaction prediction methods based on a recommender systems. We also give some extensions which go beyond the bipartite network case.