期刊
BIOINFORMATICS
卷 38, 期 18, 页码 4426-4427出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btac490
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资金
- Korea Institute of Toxicology (KIT) Research Program [1711159817]
Drug-induced liver injury poses challenges in predictive toxicology due to complex metabolites and various mechanisms involved. ToxSTAR offers structural similarity-based analysis and prediction models for different DILI subtypes.
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.
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