Predictive methods in drug repurposing: gold mine or just a bigger haystack?

Area of Science:

• Pharmacology and Drug Discovery
• Bioinformatics
• Computational Chemistry

Background:

• Extensive literature and patent databases document nearly 2000 drug repurposing examples.
• Recent advancements have introduced novel experimental techniques for predicting new drug repurposing opportunities.

Purpose of the Study:

• To critically evaluate the validity and development potential of new drug repurposing prediction methods.
• To assess whether emerging techniques offer more than just testable hypotheses.
• To explore the role of ontological methods in enhancing drug repurposing and commercialization.

Main Methods:

• Review of experimental techniques including computational modeling of drug-target interactions.
• Retrospective analysis of clinical experience.
• Application of ontological methods to link existing data and infer novel associations.

Main Results:

• New methods are evaluated for their ability to partially validate predictions, increasing successful development likelihood.
• Ontological methods are shown to enhance other repurposing techniques.
• Case historical examples of patented, commercial products derived from these methods are presented.

Conclusions:

• Emerging drug repurposing prediction methods require rigorous validation to ensure development success.
• Ontological approaches offer a powerful means to enhance drug discovery pipelines.
• The integration of computational and ontological strategies holds significant promise for identifying commercially viable therapeutic applications.