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

authors

  • ESTEBAN MEDINA, MARINA
  • DE LA OLIVA ROQUE, VICTOR MANUEL
  • HERRAIZ GIL, SARA
  • PEÑA CHILET, MARIA
  • DOPAZO, JOAQUIN
  • LOUCERA, CARLOS

publication date

  • March 2024

start page

  • 1129

end page

  • 1143

volume

  • 23

International Standard Serial Number (ISSN)

  • 2001-0370

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.

subjects

  • Biology and Biomedicine

keywords

  • explainable machine learning; drug repurposing; omics; mechanistic models