Predicting drug-induced liver injury in human with Naïve Bayes classifier approach

Computational Models for Human and Animal Hepatotoxicity with a Global Application Scope

(2016) Denis Mulliner et al.   CHEMICAL RESEARCH IN TOXICOLOGY

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

(2016) Minjun Chen et al.   DRUG DISCOVERY TODAY

A novel cell-based assay for the evaluation of immune- and inflammatory-related gene expression as biomarkers for the risk assessment of drug-induced liver injury

(2016) Shingo Oda et al.   TOXICOLOGY LETTERS

Deep Learning for Drug-Induced Liver Injury

(2015) Youjun Xu et al.   Journal of Chemical Information and Modeling

Prediction of drug-induced eosinophilia adverse effect by using SVM and naïve Bayesian approaches

(2015) Hui Zhang et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

In silico prediction of drug-induced myelotoxicity by using Naïve Bayes method

(2015) Hui Zhang et al.   MOLECULAR DIVERSITY

Multiparametric assay using HepaRG cells for predicting drug-induced liver injury

(2015) Takafumi Tomida et al.   TOXICOLOGY LETTERS

A testing strategy to predict risk for drug-induced liver injury in humans using high-content screen assays and the ‘rule-of-two’ model

(2014) Minjun Chen et al.   ARCHIVES OF TOXICOLOGY

Construction and analysis of a human hepatotoxicity database suitable for QSAR modeling using post-market safety data

(2014) Xiao Zhu et al.   TOXICOLOGY

Detection of hepatotoxicity potential with metabolite profiling (metabolomics) of rat plasma

(2014) W. Mattes et al.   TOXICOLOGY LETTERS

Analysis of Pfizer Compounds in EPA’s ToxCast Chemicals-Assay Space

(2013) Falgun Shah et al.   CHEMICAL RESEARCH IN TOXICOLOGY

Hepatotoxicity: A scheme for generating chemical categories for read-across, structural alerts and insights into mechanism(s) of action

(2013) M. Hewitt et al.   CRITICAL REVIEWS IN TOXICOLOGY

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

(2013) Minjun Chen et al.   TOXICOLOGICAL SCIENCES

Progress in computational toxicology

(2013) Sean Ekins   JOURNAL OF PHARMACOLOGICAL AND TOXICOLOGICAL METHODS

LiverTox: A website on drug-induced liver injury

(2012) Jay H. Hoofnagle et al.   HEPATOLOGY

Is Toxicogenomics a More Reliable and Sensitive Biomarker than Conventional Indicators from Rats To Predict Drug-Induced Liver Injury in Humans?

(2011) Min Zhang et al.   CHEMICAL RESEARCH IN TOXICOLOGY

Mixed learning algorithms and features ensemble in hepatotoxicity prediction

(2011) Chin Yee Liew et al.   JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN

Developing Structure−Activity Relationships for the Prediction of Hepatotoxicity

(2010) Nigel Greene et al.   CHEMICAL RESEARCH IN TOXICOLOGY

A Predictive Ligand-Based Bayesian Model for Human Drug-Induced Liver Injury

(2010) S. Ekins et al.   DRUG METABOLISM AND DISPOSITION

Extended-Connectivity Fingerprints

(2010) David Rogers et al.   Journal of Chemical Information and Modeling

Predicting cytotoxicity from heterogeneous data sources with Bayesian learning

(2010) Sarah R Langdon et al.   Journal of Cheminformatics

Cheminformatics Analysis of Assertions Mined from Literature That Describe Drug-Induced Liver Injury in Different Species

(2009) Denis Fourches et al.   CHEMICAL RESEARCH IN TOXICOLOGY

Human drug hepatotoxicity: a contemporary clinical perspective

(2009) David N Assis et al.   Expert Opinion on Drug Metabolism & Toxicology

Identification of structure–activity relationships for adverse effects of pharmaceuticals in humans. Part A: Use of FDA post-market reports to create a database of hepatobiliary and urinary tract toxicities

(2009) Carling J. Ursem et al.   REGULATORY TOXICOLOGY AND PHARMACOLOGY

Identification of structure-activity relationships for adverse effects of pharmaceuticals in humans: Part B. Use of (Q)SAR systems for early detection of drug-induced hepatobiliary and urinary tract toxicities

(2009) Edwin J. Matthews et al.   REGULATORY TOXICOLOGY AND PHARMACOLOGY

Identification of structure–activity relationships for adverse effects of pharmaceuticals in humans: Part C: Use of QSAR and an expert system for the estimation of the mechanism of action of drug-induced hepatobiliary and urinary tract toxicities

(2009) Edwin J. Matthews et al.   REGULATORY TOXICOLOGY AND PHARMACOLOGY