biostudies-literatureJimenez ASwiss State Secretariat for Education, Research and Innovation (SERI)Swiss State Secretariat for Education, Research and InnovationEuropean Commission16587https://www.ebi.ac.uk/biostudies/studies/S-EPMC11258358biostudies-literatureUnknown14(1)Drug repurposing aims to find new therapeutic applications for existing drugs in the pharmaceutical market, leading to significant savings in time and cost. The use of artificial intelligence and knowledge graphs to propose repurposing candidates facilitates the process, as large amounts of data can be processed. However, it is important to pay attention to the explainability needed to validate the predictions. We propose a general architecture to understand several explainable methods for graph completion based on knowledge graphs and design our own architecture for drug repurposing. We present XG4Repo (eXplainable Graphs for Repurposing), a framework that takes advantage of the connectivity of any biomedical knowledge graph to link compounds to the diseases they can treat. Our method allScientific reportsExplainable drug repurposing via path based knowledge graph completion.PMC1125835822.00115101057619Parras JZazo SMerino MJJimenez AfalseExplainable drug repurposing via path based knowledge graph completion.Drug repurposing aims to find new therapeutic applications for existing drugs in the pharmaceutical market, leading to significant savings in time and cost. The use of artificial intelligence and knowledge graphs to propose repurposing candidates facilitates the process, as large amounts of data can be processed. However, it is important to pay attention to the explainability needed to validate the predictions. We propose a general architecture to understand several explainable methods for graph completion based on knowledge graphs and design our own architecture for drug repurposing. We present XG4Repo (eXplainable Graphs for Repurposing), a framework that takes advantage of the connectivity of any biomedical knowledge graph to link compounds to the diseases they can treat. Our method all2024-01-01T00:00:00Z2024 Jul2025-04-26T22:18:24.562Z2025-04-06T17:13:37.979ZS-EPMC112583583902589710.1038/s41598-024-67163-x