Skip to main content
Fig. 7 | Journal of Translational Medicine

Fig. 7

From: The mechanistic functional landscape of retinitis pigmentosa: a machine learning-driven approach to therapeutic target discovery

Fig. 7

Functional profile of potentially repurposable drugs. A Venn diagram representing the simplified pharmacological actions of drugs, collected in Drugbank 5.1.8 db, with at least one target (KDT) predicted as relevant by our model. B Over-representation analysis of drugs with relevant KDTs over the ATC categories (Y-axis) across the 4 ATC levels, showing the total number of drugs that fall into each category (X-axis) and the percentage of coverage of relevant drugs over the parsed DrugBank 5.1.8 db. Only ATC categories with an FDR p-value ≤ 0.05 are shown. Fisher’s exact test was used to identify overrepresented ATC categories in our relevant results compared to their proportions in the parsed DrugBank 5.1.8 db. C Spider plot illustrating the profile of selected promising drug candidates, Omega-3 carboxylic acid, Flumazenil, and Taurine, targeting experimentally validated targets ELOVL4, GABRA1 and GLRA2 respectively, over Retinitis Pigmentosa functional hallmarks. Drug candidates were selected based on having a pharmacological action with the potential to revert the observed RP effects in the expression patterns of their targets (relevant KDTs), measured on rd10 RP murine models

Back to article page