Study on Drug Repurposing for ALS Treatment Using Pre-trained Knowledge Graph Embeddings: Methods and Findings

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In this study, research has been conducted using pre-trained knowledge graph embedding for drug repurposing in treating ALS (Amyotrophic Lateral Sclerosis), and its results have been presented. Drug repurposing studies for ALS have been carried out through two main methods: disease-drug relationship and genes-drugs relationship. Drug repurposing recommendations for ALS have been provided by predicting connections between disease and drug entities on the DRKG (Drug Repurposing Knowledge Graph). The findings obtained from the study have been evaluated by comparing them with the list of clinical trial drugs obtained from Drugbank. DRKG has been utilized as a comprehensive biological knowledge graph containing genes, compounds, diseases, biological processes, side effects, and symptoms. This graph has proven to be an effective resource for extracting information related to ALS disease. In drug repurposing studies, drugs obtained through disease-drug relationships have been compared with the list of clinical trial drugs associated with ALS, yielding significant results. Additionally, interactions between genes associated with ALS and drugs related to these genes have been examined in studies conducted through gene-drug relationships. The results obtained from the study demonstrate that DRKG is an effective resource for identifying drugs with potential therapeutic effects in the treatment of ALS. The findings suggest that drug repurposing studies could offer new and effective solutions for the treatment of ALS, marking a significant step forward in this regard.