Suppr超能文献

ToxSTAR:用于网络环境的药物性肝损伤预测工具。

ToxSTAR: drug-induced liver injury prediction tool for the web environment.

机构信息

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.

出版信息

Bioinformatics. 2022 Sep 15;38(18):4426-4427. doi: 10.1093/bioinformatics/btac490.

Abstract

SUMMARY

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.

AVAILABILITY AND IMPLEMENTATION

ToxSTAR is freely available at https://toxstar.kitox.re.kr/.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

摘要

摘要

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)。

可用性和实施

ToxSTAR 可在 https://toxstar.kitox.re.kr/ 免费获得。

补充信息

补充数据可在“Bioinformatics”在线获取。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验