Cancer Institute A national cancer institute
designated cancer center

Atul Butte

Publication Details

  • Exploiting drug-disease relationships for computational drug repositioning BRIEFINGS IN BIOINFORMATICS Dudley, J. T., Deshpande, T., Butte, A. J. 2011; 12 (4): 303-311


    Finding new uses for existing drugs, or drug repositioning, has been used as a strategy for decades to get drugs to more patients. As the ability to measure molecules in high-throughput ways has improved over the past decade, it is logical that such data might be useful for enabling drug repositioning through computational methods. Many computational predictions for new indications have been borne out in cellular model systems, though extensive animal model and clinical trial-based validation are still pending. In this review, we show that computational methods for drug repositioning can be classified in two axes: drug based, where discovery initiates from the chemical perspective, or disease based, where discovery initiates from the clinical perspective of disease or its pathology. Newer algorithms for computational drug repositioning will likely span these two axes, will take advantage of newer types of molecular measurements, and will certainly play a role in reducing the global burden of disease.

    View details for DOI 10.1093/bib/bbr013

    View details for Web of Science ID 000293078100002

    View details for PubMedID 21690101

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