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Computational Methods for Drug Repurposing

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Computational Methods for Precision Oncology

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 1361))

Abstract

The wealth of knowledge and multi-omics data available in drug research has allowed the rise of several computational methods in the drug discovery field, resulting in a novel and exciting strategy called drug repurposing. Drug repurposing consists in finding new applications for existing drugs. Numerous computational methods perform a high-level integration of different knowledge sources to facilitate the discovery of unknown mechanisms. In this chapter, we present a survey of data resources and computational tools available for drug repositioning.

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Author information

Authors and Affiliations

  1. Department of Physics and Astronomy, University of Catania, Catania, Italy

    Rosaria Valentina Rapicavoli

  2. Department of Clinical and Experimental Medicine, Bioinformatics Unit, University of Catania, Catania, Italy

    Rosaria Valentina Rapicavoli, Salvatore Alaimo, Alfredo Ferro & Alfredo Pulvirenti

Authors
  1. Rosaria Valentina Rapicavoli
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  2. Salvatore Alaimo
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  3. Alfredo Ferro
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  4. Alfredo Pulvirenti
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Corresponding author

Correspondence to Alfredo Pulvirenti .

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Editors and Affiliations

  1. Department of Genetics and Genomic Sciences, Department of Oncological Sciences, Mount Sinai Icahn School of Medicine, New York, NY, USA

    Alessandro Laganà

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Rapicavoli, R., Alaimo, S., Ferro, A., Pulvirenti, A. (2022). Computational Methods for Drug Repurposing. In: Laganà, A. (eds) Computational Methods for Precision Oncology. Advances in Experimental Medicine and Biology, vol 1361. Springer, Cham. https://doi.org/10.1007/978-3-030-91836-1_7

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