| Literature DB >> 27115647 |
Salvatore Alaimo1, Rosalba Giugno1, Alfredo Pulvirenti2.
Abstract
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 recommendation system. We also give some extensions which go beyond the bipartite network case.Keywords: Drug combination prediction; Drug repositioning; Drug–target interaction prediction; Hybrid methods network-based prediction; Recommendation systems
Mesh:
Substances:
Year: 2016 PMID: 27115647 DOI: 10.1007/978-1-4939-3572-7_23
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745