170 citations
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September 2020 in “Viruses” This review highlights that drug repositioning offers a cost-effective alternative to traditional drug discovery, especially for treating orphan and resistant diseases like COVID-19, by repurposing existing drugs such as Hydroxychloroquine and Remdesivir.
42 citations
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January 2018 in “Expert review of precision medicine and drug development” This review discusses the integration of drug repurposing with personalized medicine through off-label prescribing and reports no new results, highlighting the potential for systematic exploration using omics technologies.
39 citations
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December 2018 in “Methods in molecular biology” This review discusses the data resources and computational models used in drug repositioning, highlighting their role in discovering unknown drug mechanisms and reports no new empirical results.
32 citations
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May 2022 in “Frontiers in Pharmacology” This study proposes an AI-based method, DRGCC, using GraphSAGE and clustering constraints to predict associations between drugs and diseases, demonstrating reliable predictive performance that may aid drug repositioning efforts, including exploring drugs for COVID-19 treatment.
24 citations
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December 2009 in “Future Medicinal Chemistry” This study identified new potential targets and indications for several marketed drugs using in silico profiling, suggesting opportunities for drug repositioning.