Title | drexml: A command line tool and Python package for drug repurposing. |
Publication Type | Journal Article |
Year of Publication | 2024 |
Authors | Esteban-Medina, M, Roque, VManuel de, Herráiz-Gil, S, Peña-Chilet, M, Dopazo, J, Loucera, C |
Journal | Comput Struct Biotechnol J |
Volume | 23 |
Pagination | 1129-1143 |
Date Published | 2024 Dec |
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. |
DOI | 10.1016/j.csbj.2024.02.027 |
Alternate Journal | Comput Struct Biotechnol J |
PubMed ID | 38510973 |
PubMed Central ID | PMC10950807 |