Computational and Structural Biotechnology Journal (Dec 2024)

drexml: A command line tool and Python package for drug repurposing

  • Marina Esteban-Medina,
  • Víctor Manuel de la Oliva Roque,
  • Sara Herráiz-Gil,
  • María Peña-Chilet,
  • Joaquín Dopazo,
  • Carlos Loucera

Journal volume & issue
Vol. 23
pp. 1129 – 1143

Abstract

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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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