Trends and Applications in Computationally Driven Drug Repurposing

Luca Pinzi; Giulio Rastelli

doi:10.3390/ijms242216511

Trends and Applications in Computationally Driven Drug Repurposing

Int J Mol Sci. 2023 Nov 20;24(22):16511. doi: 10.3390/ijms242216511.

Authors

Luca Pinzi¹, Giulio Rastelli¹

Affiliation

¹ Department of Life Sciences, University of Modena and Reggio Emilia, Via Giuseppe Campi 103, 41125 Modena, Italy.

Abstract

Drug repurposing is a widely used approach originally developed to aid in the identification of new uses of already existing drugs outside the scope of the original medical indication [...].

Publication types

Editorial

MeSH terms

Drug Repositioning*

Grants and funding

The research leading to these results has received funding from AIRC (Fondazione Italiana per la Ricerca sul Cancro) under IG 2019-I.D. 23635 project—P.I. Giulio Rastelli, and by a PhD fellowship from the Regione Emilia Romagna on “Drug Repurposing against Advanced-Stage Prostate Cancer through Big Data Analysis and Artificial Intelligence”. Moreover, the research leading to these results has received funding from the European Union—NextGenerationEU through the Italian Ministry of University and Research under PNRR—M4C2-I1.3 Project PE_00000019 “HEAL ITALIA” to G.R. The views and opinions expressed are those of the authors only and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the European Commission can be held responsible for them. L.P. would like to thank the Italian funding programme Fondo Sociale Europeo REACT-EU—PON “Ricerca e Innovazione” 2014–2020—Azione IV.4 “Dottorati e contratti di ricerca su tematiche dell’innovazione” (CUP: E95F21002320001; contract number: 17-I-13884-1) for supporting his research.