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Project TitleDrug Repurposing with a Drug-Drug Interaction Model
Track Code2017-150
Short Description
Tagsclustering, drug-drug interaction network, drug repositioning, pharmacology, big data, personalized medicine
Posted DateAug 18, 2017 7:07 PM

Market Opportunity

The drug design process is slow, cumbersome, and prone to many expensive errors. Even in the best case scenarios, pharmaceutical companies bear the burden of high R&D costs due to 90% of potential drugs failing during development. As a result, pharmaceutical companies have begun repositioning (or repurposing) their drugs.

Repositioning generally refers to identifying a drug that the FDA has approved for treating one disease or condition and using that same drug to treat other diseases. Repositioning accelerates development and can lead to reduced costs. Most repositioning approaches, however, are limited because they target a specific disease or specific drug-target relationships. A technique is needed that evaluates all publically available drug information and uncovers new uses for FDA approved drugs.

USC Solution

USC researchers have developed a big-data, clustering technique for repositioning drugs. They evaluate all drugs that are available in public drug databases and interpret all possible repositionings at the same time. This method produces fast results because, unlike current techniques, it does not use computationally intensive methods to filter the drug network.

Value Proposition

  • Repositions known pharmaceuticals
  • Decreases R&D cost
  • Interprets all possible repositionings at same time


  • Pharmacology
  • Drug repositioning
  • Personalized medicine

Stage of Development

  • Experimentally confirmed
  • Available for exclusive and non-exclusive license

Intellectual Property

Contact Information

Denise McKenzie, Licensing Associate

USC Stevens Center for Innovation

(213) 821-0945



File Name Description
NCD 2017-150 - Drug Repurposing with a Drug-Drug Interaction Model.pdf None Download