[HTML][HTML] Predicting drug-induced liver injury: The importance of data curation
Drug-induced liver injury (DILI) is a major issue for both patients and pharmaceutical
industry due to insufficient means of prevention/prediction. In the current work we present a …
industry due to insufficient means of prevention/prediction. In the current work we present a …
Computational models using multiple machine learning algorithms for predicting drug hepatotoxicity with the DILIrank dataset
Drug-induced liver injury (DILI) remains one of the challenges in the safety profile of both
authorized and candidate drugs, and predicting hepatotoxicity from the chemical structure of …
authorized and candidate drugs, and predicting hepatotoxicity from the chemical structure of …
Hybrid in silico models for drug‐induced liver injury using chemical descriptors and in vitro cell‐imaging information
Drug‐induced liver injury (DILI) is a major adverse drug reaction that accounts for one‐third
of post‐marketing drug withdrawals. Several classifiers for human hepatotoxicity using …
of post‐marketing drug withdrawals. Several classifiers for human hepatotoxicity using …
Development of decision forest models for prediction of drug-induced liver injury in humans using a large set of FDA-approved drugs
Drug-induced liver injury (DILI) presents a significant challenge to drug development and
regulatory science. The FDA's Liver Toxicity Knowledge Base (LTKB) evaluated> 1000 …
regulatory science. The FDA's Liver Toxicity Knowledge Base (LTKB) evaluated> 1000 …
Comparing machine learning algorithms for predicting drug-induced liver injury (DILI)
Drug-induced liver injury (DILI) is one the most unpredictable adverse reactions to
xenobiotics in humans and the leading cause of postmarketing withdrawals of approved …
xenobiotics in humans and the leading cause of postmarketing withdrawals of approved …
The development and application of in silico models for drug induced liver injury
X Li, Y Chen, X Song, Y Zhang, H Li, Y Zhao - RSC advances, 2018 - pubs.rsc.org
Drug-induced liver injury (DILI), caused by drugs, herbal agents or nutritional supplements,
is a major issue for patients and the pharmaceutical industry. It has been a leading cause of …
is a major issue for patients and the pharmaceutical industry. It has been a leading cause of …
Machine‐Learning Prediction of Oral Drug‐Induced Liver Injury (DILI) via Multiple Features and Endpoints
X Liu, D Zheng, Y Zhong, Z Xia, H Luo… - BioMed Research …, 2020 - Wiley Online Library
Drug discovery is a costly process which usually takes more than 10 years and billions of
dollars for one successful drug to enter the market. Despite all the safety tests, drugs may …
dollars for one successful drug to enter the market. Despite all the safety tests, drugs may …
Predicting drug-induced liver injury using ensemble learning methods and molecular fingerprints
Drug-induced liver injury (DILI) is a major safety concern in the drug-development process,
and various methods have been proposed to predict the hepatotoxicity of compounds during …
and various methods have been proposed to predict the hepatotoxicity of compounds during …
Prediction of clinically relevant drug‐induced liver injury from structure using machine learning
F Hammann, V Schöning… - Journal of Applied …, 2019 - Wiley Online Library
Drug‐induced liver injury (DILI) is the most common cause of acute liver failure and often
responsible for drug withdrawals from the market. Clinical manifestations vary, and toxicity …
responsible for drug withdrawals from the market. Clinical manifestations vary, and toxicity …
Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure
Background Drug-induced liver injury (DILI) is a major safety concern characterized by a
complex and diverse pathogenesis. In order to identify DILI early in drug development, a …
complex and diverse pathogenesis. In order to identify DILI early in drug development, a …