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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.

This review outlines drug repurposing as an efficient, low-cost strategy to identify new uses for existing drugs, highlighting various computational and experimental approaches as well as publicly available databases to aid in personalized pharmacotherapy.

This study describes a computational method using side-effect data from social media to identify new drug indications, suggesting it could be effective for drug repositioning.

This study found that DrugNet, a network-based prioritization method, effectively improves drug repositioning tasks, achieving high performance in validation tests and clinical trial comparisons.

This review outlines computational strategies, including chemogenomics and drug repositioning, for coronavirus drug discovery and reports no new clinical findings; the authors highlight the advantages of these methods in rapidly identifying therapeutic candidates.