DILIrank：按人类发生药物性肝损伤风险排序的最大参考药物清单。 - Suppr

DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans.

作者信息

Chen Minjun, Suzuki Ayako, Thakkar Shraddha, Yu Ke, Hu Chuchu, Tong Weida

机构信息

Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, USA.

Department of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.

出版信息

Drug Discov Today. 2016 Apr;21(4):648-53. doi: 10.1016/j.drudis.2016.02.015. Epub 2016 Mar 3.

DOI:10.1016/j.drudis.2016.02.015

PMID:26948801

Abstract

摘要

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DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans.DILIrank：按人类发生药物性肝损伤风险排序的最大参考药物清单。

Drug Discov Today. 2016 Apr;21(4):648-53. doi: 10.1016/j.drudis.2016.02.015. Epub 2016 Mar 3.

Drug-induced liver injury severity and toxicity (DILIst): binary classification of 1279 drugs by human hepatotoxicity.药物性肝损伤严重程度和毒性（DILIst）：1279 种药物的人类肝毒性的二进制分类。

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Computational Models Using Multiple Machine Learning Algorithms for Predicting Drug Hepatotoxicity with the DILIrank Dataset.使用多种机器学习算法的计算模型，结合 DILIrank 数据集预测药物肝毒性。

Int J Mol Sci. 2020 Mar 19;21(6):2114. doi: 10.3390/ijms21062114.

Hepatotoxicity by Drugs: The Most Common Implicated Agents.药物性肝损伤：最常见的致病药物。

Int J Mol Sci. 2016 Feb 6;17(2):224. doi: 10.3390/ijms17020224.

FDA-approved drug labeling for the study of drug-induced liver injury.FDA 批准用于药物性肝损伤研究的药物标签。

Drug Discov Today. 2011 Aug;16(15-16):697-703. doi: 10.1016/j.drudis.2011.05.007. Epub 2011 May 20.

Quantitative structure-activity relationship models for predicting drug-induced liver injury based on FDA-approved drug labeling annotation and using a large collection of drugs.基于 FDA 批准药物标签注释和大量药物的用于预测药物性肝损伤的定量构效关系模型。

Toxicol Sci. 2013 Nov;136(1):242-9. doi: 10.1093/toxsci/kft189. Epub 2013 Aug 31.

[Drug-induced liver lesions].[药物性肝损伤]

Med Welt. 1978 Apr 7;29(14):559-66.

Drug-induced liver injury: Diagnosing (and treating) it early.药物性肝损伤：早期诊断（及治疗）。

J Fam Pract. 2015 Oct;64(10):634-44.

How to end med confusion.如何终结用药困惑。

Hosp Health Netw. 2007 Jan;81(1):8, 10.

Prediction methods and databases within chemoinformatics: emphasis on drugs and drug candidates.化学信息学中的预测方法与数据库：重点关注药物及候选药物

Bioinformatics. 2005 May 15;21(10):2145-60. doi: 10.1093/bioinformatics/bti314. Epub 2005 Feb 15.

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Systematic analysis of hepatotoxicity: combining literature mining and AI language models.肝毒性的系统分析：结合文献挖掘与人工智能语言模型

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Genomics-informed drug-repurposing strategy identifies two therapeutic targets for preventing liver disease associated with metabolic dysfunction.基于基因组学的药物重新利用策略确定了两个预防与代谢功能障碍相关肝病的治疗靶点。

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Comprehensive analysis of high-throughput transcriptomics to distinguish drug-induced liver injury (DILI) phenotypes.通过高通量转录组学进行综合分析以区分药物性肝损伤（DILI）表型。

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DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans.

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