The wealth of knowledge and omic data available in drug research allowed the rising of several computational methods in drug discovery field yielding a novel and exciting application called drug repositioning. Several computational methods try to make a high-level integration of all the knowledge in order to discover unknown mechanisms. In this chapter we present an in-depth review of data resources and computational models for drug repositioning.
|Titolo:||Network-Based Drug Repositioning: Approaches, Resources, and Research Directions|
PULVIRENTI, ALFREDO (Corresponding)
|Data di pubblicazione:||2019|
|Appare nelle tipologie:||2.1 Contributo in volume (Capitolo o Saggio)|