Novel drug discovery is time-consuming, costly, and a high-investment process due to the\nhigh attrition rate. Therefore, many trials are conducted to reuse existing drugs to treat pressing\nconditions and diseases, since their safety profiles and pharmacokinetics are already available. Drug\nrepositioning is a strategy to identify a new indication of existing or already approved drugs, beyond\nthe scope of their original use. Various computational and experimental approaches to incorporate\navailable resources have been suggested for gaining a better understanding of disease mechanisms and\nthe identification of repurposed drug candidates for personalized pharmacotherapy. In this review,\nwe introduce publicly available databases for drug repositioning and summarize the approaches\ntaken for drug repositioning. We also highlight and compare their characteristics and challenges,\nwhich should be addressed for the future realization of drug repositioning.
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