Department of Predictive toxicology, Korea Institute of Toxicology, 34114 Daejeon, Republic of Korea.
Department of Human and Environmental Toxicology, University of Science and Technology, 34113 Daejeon, Republic of Korea.
Bioinformatics. 2022 Sep 15;38(18):4426-4427. doi: 10.1093/bioinformatics/btac490.
Drug-induced liver injury (DILI) is a challenging endpoint in predictive toxicology because of the complex reactive metabolites that cause liver damage and the wide range of mechanisms involved in the development of the disease. ToxSTAR provides structural similarity-based DILI analysis and in-house DILI prediction models that predict four DILI subtypes (cholestasis, cirrhosis, hepatitis and steatosis) based on drug and drug metabolite molecules.
ToxSTAR is freely available at https://toxstar.kitox.re.kr/.
Supplementary data are available at Bioinformatics online.
药物性肝损伤（DILI）是预测毒理学中的一个具有挑战性的终点，因为导致肝损伤的复杂反应性代谢物以及导致疾病发展的广泛机制。ToxSTAR 提供基于结构相似性的 DILI 分析和内部 DILI 预测模型，可根据药物和药物代谢物分子预测四种 DILI 亚型（胆汁淤积、肝硬化、肝炎和脂肪变性）。
ToxSTAR 可在 https://toxstar.kitox.re.kr/ 免费获得。
补充数据可在“Bioinformatics”在线获取。
