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.
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Acknowledgments
This work has been done within the research project “Marcatori molecolari e clinico-strumentali precoci, nelle patologie metaboliche e cronico-degenerative” founded by the Department of Clinical and Experimental Medicine of University of Catania.
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Alaimo, S., Pulvirenti, A. (2019). Network-Based Drug Repositioning: Approaches, Resources, and Research Directions. In: Vanhaelen, Q. (eds) Computational Methods for Drug Repurposing. Methods in Molecular Biology, vol 1903. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-8955-3_6
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DOI: https://doi.org/10.1007/978-1-4939-8955-3_6
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