Network Analysis of Liver Diseases Associated Drug Interactions

Network Analysis of Liver Diseases Associated Drug Interactions

연구 분야: Networking

학회: 2024 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU)

Two datasets and the most advanced social network analysis (SNA) were used in this paper to analyze drug-induced liver injury (DILI). DILI severity classes, label sections and version details are provided in dataset 1. Dataset 2 divides connectivity patterns according to route of drug administration, exposing in sharp relief the relationship between substances and their methods. In our study, advanced network models are employed to find key compounds including (0, ‘vNo-DILI-Concern’, 2), and nodes numbers 01, Oral; as well as number zero. These results provide a new perspective on the relationships around drug safety and add to our knowledge of compound relations in terms of DILI. Network analysis and community detection, which reveal hidden patterns that traditional analytical methods might overlook, enhance the interpretability. This cross-disciplinary approach-label sections, administration routes and severity classifications-makes sure full attention is given to matters of DILI. It advances the science of drug safety assessments and itself points to future research into developing more accurate measures of pharmaceutical safety.