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.
|Titolo:||Recommendation Techniques for Drug–Target Interaction Prediction and Drug Repositioning|
|Data di pubblicazione:||2016|
|Appare nelle tipologie:||2.1 Contributo in volume (Capitolo o Saggio)|