Journal
BIOINFORMATICS
Volume 38, Issue 18, Pages 4426-4427Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btac490
Keywords
-
Categories
Funding
- Korea Institute of Toxicology (KIT) Research Program [1711159817]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available