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Updated: Jun 30, 2025

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
Published on: December 11, 2016
drexml: A command line tool and Python package for drug repurposing
Marina Esteban-Medina1,2, Víctor Manuel de la Oliva Roque1,2, Sara Herráiz-Gil3,4,5,6
1Platform for Computational Medicine, Andalusian Public Foundation Progress and Health-FPS, Seville, Spain.
Abstract:
We introduce drexml, a command line tool and Python package for rational data-driven drug repurposing. The package employs machine learning and mechanistic signal transduction modeling to identify drug targets capable of regulating a particular disease. In addition, it employs explainability tools to contextualize potential drug targets within the functional landscape of the disease. The methodology is validated in Fanconi Anemia and Familial Melanoma, two distinct rare diseases where there is a pressing need for solutions. In the Fanconi Anemia case, the model successfully predicts previously validated repurposed drugs, while in the Familial Melanoma case, it identifies a promising set of drugs for further investigation.
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