Exploring Drug Safety Through Knowledge Graphs: Protein Kinase Inhibitors as a Case Study

Researchers developed a knowledge graph framework that integrates diverse data sources to predict adverse drug reactions for protein kinase inhibitors. The system combines drug-target data, clinical literature, trial metadata, and safety reports into a unified network for better drug safety analysis and pharmacovigilance.

• →Knowledge graph framework unifies heterogeneous drug safety data from ChEMBL, PubMed, ClinicalTrials.gov, and FAERS databases.
• →System was tested on 400 protein kinase inhibitors to predict adverse drug reactions and compare drug efficacy.
• →Framework enables contextual comparison of drug tolerability and target-to-adverse-event correlations.
• →Non-small cell lung cancer case study successfully identified established drugs and target communities.
• →Code and data are publicly available on GitHub for further research and development.