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Updated: May 23, 2026

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
Published on: December 11, 2016
Drug repositioning for personalized medicine
Yvonne Y Li1, Steven Jm Jones1
1Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, British Columbia V5Z 4S6, Canada.
Personalized medicine and drug repositioning accelerate disease treatment by identifying existing drugs for new uses. These approaches improve drug discovery efficiency and offer new hope for rare diseases and specific mutations.
Area of Science:
- Genomics and Molecular Biology
- Pharmacology and Drug Discovery
- Personalized Medicine
Background:
- Human diseases arise from complex molecular mechanisms involving protein and pathway aberrations.
- Genomic advancements enable personalized molecular disease understanding.
- Existing approved drugs offer a faster route for new therapeutic indications through repositioning.
Purpose of the Study:
- To discuss the current research landscape of personalized medicine and drug repositioning.
- To highlight systematic approaches for identifying drug repositioning candidates.
- To explore the potential of personalized drug repositioning for rare diseases and specific mutations.
Main Methods:
- Review of current research in personalized medicine and drug repositioning.
- Focus on large-scale efforts to identify drug repositioning candidates.
- Analysis of systematic approaches to elucidate individual disease mechanisms, particularly in cancer.
Main Results:
- Personalized medicine and drug repositioning enhance drug discovery pipelines, reducing time and cost.
- These strategies address the high failure rates of new drugs in clinical trials due to efficacy or toxicity.
- Systematic efforts are underway to identify repositioning candidates and understand individual disease mechanisms.
Conclusions:
- Personalized drug repositioning is particularly beneficial for rare diseases or those with specific mutations.
- Challenges in personalized drug repositioning need to be addressed for wider adoption.
- These integrated approaches are set to transform disease diagnosis, treatment inference, and drug development, especially for rare cancer subtypes.
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