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.

Network-Based Drug Repositioning: Approaches, Resources, and Research Directions

Alaimo, Salvatore;Pulvirenti, Alfredo
2019-01-01

Abstract

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.
2019
978-1-4939-8954-6
978-1-4939-8955-3
Drug repositioning; Drug-target interaction prediction; Interaction networks; Network-based drug repurposing; Precision medicine; Molecular Biology; Genetics
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/361592
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