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

doi:10.1016/j.drudis.2016.02.015

PMID: 26948801DOI: 10.1016/j.drudis.2016.02.015Mar 8, 2016Paper

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

Drug Discovery Today

Minjun ChenWeida Tong

Abstract

No abstract listed.

References

Concordance of the toxicity of pharmaceuticals in humans and in animals

Oct 13, 2000·Regulatory Toxicology and Pharmacology : RTP·H OlsonA Heller

Timing of new black box warnings and withdrawals for prescription medications

May 1, 2002·JAMA : the Journal of the American Medical Association·Karen E LasserDavid H Bor

Phenotypic anchoring: linking cause and effect

May 23, 2003·Environmental Health Perspectives·Richard Paules

Drug-induced hepatic injury: Marplan hepatitis

Jul 1, 1961·The American Journal of Psychiatry·J A KNIGHT

Mitochondrial toxicity of NRTI antiviral drugs: an integrated cellular perspective

Oct 4, 2003·Nature Reviews. Drug Discovery·William LewisWilliam C Copeland

Idiosyncratic drug hepatotoxicity

Jun 3, 2005·Nature Reviews. Drug Discovery·Neil Kaplowitz

Drug-induced liver injury: an analysis of 461 incidences submitted to the Spanish registry over a 10-year period

Aug 9, 2005·Gastroenterology·Raúl J AndradeUNKNOWN Spanish Group for the Study of Drug-Induced Liver Disease

"Black box" 101: How the Food and Drug Administration evaluates, communicates, and manages drug benefit/risk

Jan 3, 2006·The Journal of Allergy and Clinical Immunology·Shirley Murphy, Rosemary Roberts

Relationship between daily dose of oral medications and idiosyncratic drug-induced liver injury: search for signals

May 6, 2008·Hepatology : Official Journal of the American Association for the Study of Liver Diseases·Craig LammertNaga Chalasani

Cellular imaging predictions of clinical drug-induced liver injury

Jun 6, 2008·Toxicological Sciences : an Official Journal of the Society of Toxicology·Jinghai J XuDavid de Graaf

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

May 8, 2009·Regulatory Toxicology and Pharmacology : RTP·Carling J UrsemEdwin J Matthews

Developing structure-activity relationships for the prediction of hepatotoxicity

Jun 18, 2010·Chemical Research in Toxicology·Nigel GreeneDennis J Pelletier

Causality assessment methods in drug induced liver injury: strengths and weaknesses

Feb 26, 2011·Journal of Hepatology·Miren García-CortésRaúl J Andrade

FDA-approved drug labeling for the study of drug-induced liver injury

Jun 1, 2011·Drug Discovery Today·Minjun ChenWeida Tong

Is toxicogenomics a more reliable and sensitive biomarker than conventional indicators from rats to predict drug-induced liver injury in humans?

Nov 30, 2011·Chemical Research in Toxicology·Min ZhangWeida Tong

Comparisons between in vitro whole cell imaging and in vivo zebrafish-based approaches for identifying potential human hepatotoxicants earlier in pharmaceutical development.

Jan 17, 2012·Drug Metabolism Reviews·Adrian HillMichael D Aleo

Preclinical strategy to reduce clinical hepatotoxicity using in vitro bioactivation data for >200 compounds

Aug 31, 2012·Chemical Research in Toxicology·Melanie Z SakatisStephen E Clarke

High lipophilicity and high daily dose of oral medications are associated with significant risk for drug-induced liver injury

Dec 22, 2012·Hepatology : Official Journal of the American Association for the Study of Liver Diseases·Minjun ChenWeida Tong

LiverTox: a website on drug-induced liver injury

Mar 5, 2013·Hepatology : Official Journal of the American Association for the Study of Liver Diseases·Jay H HoofnagleVictor J Navarro

In vitro models for liver toxicity testing

Mar 16, 2013·Toxicology Research·Valerie Y SoldatowIvan Rusyn

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

Sep 3, 2013·Toxicological Sciences : an Official Journal of the Society of Toxicology·Minjun ChenWeida Tong

Evaluation of the use of imaging parameters for the detection of compound-induced hepatotoxicity in 384-well cultures of HepG2 cells and cryopreserved primary human hepatocytes

Nov 6, 2013·Toxicology in Vitro : an International Journal Published in Association with BIBRA·Helen GarsideJames Baumgartner

Predictivity of dog co-culture model, primary human hepatocytes and HepG2 cells for the detection of hepatotoxic drugs in humans

Dec 18, 2013·Toxicology and Applied Pharmacology·Franck A AtienzarStéphane Dhalluin

The application of 3D cell models to support drug safety assessment: opportunities & challenges

Jan 1, 2014·Advanced Drug Delivery Reviews·Adrian Roth, Thomas Singer

Toward predictive models for drug-induced liver injury in humans: are we there yet?

Feb 14, 2014·Biomarkers in Medicine·Minjun ChenWeida Tong

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

Apr 12, 2014·Toxicology·Xiao Zhu, Naomi L Kruhlak

Human drug-induced liver injury severity is highly associated with dual inhibition of liver mitochondrial function and bile salt export pump

May 7, 2014·Hepatology : Official Journal of the American Association for the Study of Liver Diseases·Michael D AleoYvonne Will

Predicting idiosyncratic drug-induced liver injury: some recent advances

May 27, 2014·Expert Review of Gastroenterology & Hepatology·Minjun ChenWeida Tong

Drug-induced liver injury and drug development: industry perspective

Jun 1, 2014·Seminars in Liver Disease·Arie Regev

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

Aug 3, 2014·Toxicology Letters·W MattesH Kamp

Developing a QSAR model for hepatotoxicity screening of the active compounds in traditional Chinese medicines

Feb 11, 2015·Food and Chemical Toxicology : an International Journal Published for the British Industrial Biological Research Association·Shan-Han HuangJih-Heng Li

Features and Outcomes of 899 Patients With Drug-Induced Liver Injury: The DILIN Prospective Study

Mar 11, 2015·Gastroenterology·Naga ChalasaniUNKNOWN United States Drug Induced Liver Injury Network

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

May 3, 2015·Toxicology Letters·Takafumi TomidaYoshihiro Konno

Categorization of drugs implicated in causing liver injury: Critical assessment based on published case reports

Oct 31, 2015·Hepatology : Official Journal of the American Association for the Study of Liver Diseases·Einar S Björnsson, Jay H Hoofnagle

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Citations

Key Challenges and Opportunities Associated with the Use of In Vitro Models to Detect Human DILI: Integrated Risk Assessment and Mitigation Plans

Oct 1, 2016·BioMed Research International·Franck A AtienzarDonna M Dambach

Integrating Drug's Mode of Action into Quantitative Structure-Activity Relationships for Improved Prediction of Drug-Induced Liver Injury

Mar 30, 2017·Journal of Chemical Information and Modeling·Leihong WuWeida Tong

Predicting drug-induced liver injury: The importance of data curation.

Jun 28, 2017·Toxicology·Eleni KotsampasakouGerhard F Ecker

Associations of Drug Lipophilicity and Extent of Metabolism with Drug-Induced Liver Injury

Jun 24, 2017·International Journal of Molecular Sciences·Kristin McEuenMinjun Chen

Measures of BSEP Inhibition In Vitro Are Not Useful Predictors of DILI

Dec 23, 2017·Toxicological Sciences : an Official Journal of the Society of Toxicology·Rosa Chan, Leslie Z Benet

Organic solute transporter OSTα/β is overexpressed in nonalcoholic steatohepatitis and modulated by drugs associated with liver injury.

Feb 9, 2018·American Journal of Physiology. Gastrointestinal and Liver Physiology·Melina M MalinenKim L R Brouwer

Dynamic imaging of adaptive stress response pathway activation for prediction of drug induced liver injury

Mar 5, 2018·Archives of Toxicology·Steven WinkBob van de Water

Editor's Highlight: Identification of Any Structure-Specific Hepatotoxic Potential of Different Pyrrolizidine Alkaloids Using Random Forests and Artificial Neural Networks

Oct 4, 2017·Toxicological Sciences : an Official Journal of the Society of Toxicology·Verena SchöningJürgen Drewe

Foretelling toxicity: FDA researchers work to predict risk of liver injury from drugs

May 7, 2016·Nature Medicine·Cassandra Willyard

3D Primary Hepatocyte Culture Systems for Analyses of Liver Diseases, Drug Metabolism, and Toxicity: Emerging Culture Paradigms and Applications

Apr 9, 2019·Biotechnology Journal·Volker M LauschkeMagnus Ingelman-Sundberg

The landscape of hepatobiliary adverse reactions across 53 herbal and dietary supplements reveals immune-mediated injury as a common cause of hepatitis.

Nov 14, 2019·Archives of Toxicology·Jieqiang ZhuWeida Tong

In silico Identification and Mechanism Exploration of Hepatotoxic Ingredients in Traditional Chinese Medicine

May 28, 2019·Frontiers in Pharmacology·Qihui WuJiansong Fang

Predicting drug-induced hepatotoxicity based on biological feature maps and diverse classification strategies.

Dec 16, 2019·Briefings in Bioinformatics·Ran SuLeyi Wei

Hepatotoxicity Modeling Using Counter-Propagation Artificial Neural Networks: Handling an Imbalanced Classification Problem

Jan 26, 2020·Molecules : a Journal of Synthetic Chemistry and Natural Product Chemistry·Benjamin Bajželj, Viktor Drgan

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

Oct 28, 2016·Journal of Computer-aided Molecular Design·Hui ZhangJi Zhang

Three-dimensional liver models: state of the art and their application for hepatotoxicity evaluation

May 19, 2020·Critical Reviews in Toxicology·Xihui ZhangLeshuai W Zhang

Recent advances in evaluation studies for drug-induced liver injury

Sep 4, 2020·Nihon yakurigaku zasshi. Folia pharmacologica Japonica·Tsuyoshi Yokoi

Drug-induced liver injury: recent advances in diagnosis and risk assessment.

Mar 28, 2017·Gut·Gerd A Kullak-UblickGuruprasad P Aithal

Drug-induced liver injury: Towards early prediction and risk stratification

Jan 21, 2017·World Journal of Hepatology·Emanuel Raschi, Fabrizio De Ponti

Utility of spherical human liver microtissues for prediction of clinical drug-induced liver injury

Jun 15, 2017·Archives of Toxicology·William R ProctorDominic Williams

The Liver Toxicity Knowledge Base (LKTB) and drug-induced liver injury (DILI) classification for assessment of human liver injury

Sep 22, 2017·Expert Review of Gastroenterology & Hepatology·Shraddha ThakkarWeida Tong

Development of Decision Forest Models for Prediction of Drug-Induced Liver Injury in Humans Using A Large Set of FDA-approved Drugs

Dec 13, 2017·Scientific Reports·Huixiao HongWeida Tong

Calcium Signaling in Liver Injury and Regeneration

Jul 20, 2018·Frontiers in Medicine·Nuria Oliva-VilarnauVolker M Lauschke

Characterisation of the NRF2 transcriptional network and its response to chemical insult in primary human hepatocytes: implications for prediction of drug-induced liver injury.

Nov 15, 2018·Archives of Toxicology·Ian M CoppleB Kevin Park

The evolution of strategies to minimise the risk of human drug-induced liver injury (DILI) in drug discovery and development.

May 7, 2020·Archives of Toxicology·Paul A WalkerRobert J Riley

Machine-Learning Prediction of Oral Drug-Induced Liver Injury (DILI) via Multiple Features and Endpoints.

Jun 9, 2020·BioMed Research International·Xiaobin LiuZuquan Weng

Response to and recovery from treatment in human liver-mimetic clinostat spheroids: a model for assessing repeated-dose drug toxicity

Sep 10, 2020·Toxicology Research·Stephen J FeyKrzysztof Wrzesinski

Propensity Score-Based Approaches in High Dimension for Pharmacovigilance Signal Detection: an Empirical Comparison on the French Spontaneous Reporting Database

Oct 4, 2018·Frontiers in Pharmacology·Émeline CourtoisIsmaïl Ahmed

Embracing the Dark Side: Computational Approaches to Unveil the Functionality of Genes Lacking Biological Annotation in Drug-Induced Liver Injury

Dec 6, 2018·Frontiers in Genetics·Terezinha SouzaDanyel Jennen

In Silico Prediction of Drug-Induced Liver Injury Based on Ensemble Classifier Method

Aug 25, 2019·International Journal of Molecular Sciences·Yangyang WangBing Wang

Development of Prediction Models for Drug-Induced Cholestasis, Cirrhosis, Hepatitis, and Steatosis Based on Drug and Drug Metabolite Structures

Mar 3, 2020·Frontiers in Pharmacology·Hyun Kil ShinSeokjoo Yoon

Comparison of laboratory threshold criteria in drug-induced liver injury detection algorithms for use in pharmacovigilance.

Aug 28, 2020·Pharmacoepidemiology and Drug Safety·Eng Hooi TanBee Choo Tai

In vitro assessment of farnesoid X receptor antagonism to predict drug-induced liver injury risk.

Jun 26, 2020·Archives of Toxicology·Leah M NoronaWilliam R Proctor

Prediction Is a Balancing Act: Importance of Sampling Methods to Balance Sensitivity and Specificity of Predictive Models Based on Imbalanced Chemical Data Sets

Oct 3, 2018·Frontiers in Chemistry·Priyanka BanerjeeRobert Preissner

An In Silico Model for Predicting Drug-Induced Hepatotoxicity

Apr 20, 2019·International Journal of Molecular Sciences·Shuaibing HeXiaobo Sun

Current limitations and future opportunities for prediction of DILI from in vitro

Oct 22, 2016·Archives of Toxicology·Christoph Funk, Adrian Roth

A review of drug-induced liver injury databases

Jul 19, 2017·Archives of Toxicology·Guangwen LuoZheng Xiang

Drug-Induced Liver Injury Associated with the Use of Everolimus in a Liver Transplant Patient

Aug 15, 2018·Case Reports in Transplantation·Serena PatelShirley M Tsunoda

The Development of a Database for Herbal and Dietary Supplement Induced Liver Toxicity

Oct 3, 2018·International Journal of Molecular Sciences·Jieqiang ZhuMinjun Chen

An in vitro coculture system of human peripheral blood mononuclear cells with hepatocellular carcinoma-derived cells for predicting drug-induced liver injury.

Aug 21, 2020·Archives of Toxicology·Shingo OdaTsuyoshi Yokoi

ProTox-II: a webserver for the prediction of toxicity of chemicals

May 3, 2018·Nucleic Acids Research·Priyanka BanerjeeRobert Preissner

Study of serious adverse drug reactions using FDA-approved drug labeling and MedDRA

Mar 16, 2019·BMC Bioinformatics·Leihong WuHong Fang

Computational Models Using Multiple Machine Learning Algorithms for Predicting Drug Hepatotoxicity with the DILIrank Dataset

Mar 25, 2020·International Journal of Molecular Sciences·Robert AncuceanuMihaela Dinu

Strategies for Early Prediction and Timely Recognition of Drug-Induced Liver Injury: The Case of Cyclin-Dependent Kinase 4/6 Inhibitors

Nov 12, 2019·Frontiers in Pharmacology·Emanuel Raschi, Fabrizio De Ponti

Medical Therapy for Fibroids: What Next for Ulipristal Acetate?

Nov 18, 2020·Advances in Therapy·Emmanuel Ekanem, Vikram Talaulikar

Deep Learning on High-Throughput Transcriptomics to Predict Drug-Induced Liver Injury

Dec 18, 2020·Frontiers in Bioengineering and Biotechnology·Ting LiShraddha Thakkar

Models of Idiosyncratic Drug-Induced Liver Injury.

Sep 26, 2020·Annual Review of Pharmacology and Toxicology·Tsuyoshi Yokoi, Shingo Oda

A 3D microfluidic liver model for high throughput compound toxicity screening in the OrganoPlate®.

Dec 29, 2020·Toxicology·Kristin M BircsakAlbert Gough

An ensemble learning approach for modeling the systems biology of drug-induced injury.

Jan 14, 2021·Biology Direct·Joaquim Aguirre-PlansBaldo Oliva

Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure.

Jan 20, 2021·Biology Direct·Anika LiuAndreas Bender

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