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Author Details

Minjun Chen
2000
70
29
PMIDPaper TitleJournal TitlePublished Year
37460037In silico modeling-based new alternative methods to predict drug and herb-induced liver injury: A review.2023
34607018A systematic comparison of hepatobiliary adverse drug reactions in FDA and EMA drug labeling reveals discrepancies.Drug Discov Today2022
35528969Redefinition of Fatty Liver Disease from NAFLD to MAFLD through the Lens of Drug Development and Regulatory Science.Journal of Clinical and Translational Hepatology2022
35905417Whole Exome Sequencing Reveals Genetic Variants in HLA Class II Genes Associated With Transplant-free Survival of Indeterminate Acute Liver Failure.Clinical and Translational Gastroenterology2022
35296201Integrative approaches for studying the role of noncoding RNAs in influencing drug efficacy and toxicity.Expert Opin Drug Metab Toxicol2022
35188640Machine Learning Models for Predicting Liver Toxicity.Methods Mol Biol2022
34939028BERT-Based Natural Language Processing of Drug Labeling Documents: A Case Study for Classifying Drug-Induced Liver Injury Risk.Front Artif Intell2021
34281077Machine Learning for Predicting Risk of Drug-Induced Autoimmune Diseases by Structural Alerts and Daily Dose.Int J Environ Res Public Health2021
33845060Elevated bilirubin, alkaline phosphatase at onset, and drug metabolism are associated with prolonged recovery from DILI.Journal of Hepatology2021
33737635Performance of preclinical models in predicting drug-induced liver injury in humans: a systematic review.Scientific Reports2021
33666709Drug properties and host factors contribute to biochemical presentation of drug-induced liver injury: a prediction model from a machine learning approach.Archives of Toxicology2021
34682349Machine Learning to Identify Interaction of Single-Nucleotide Polymorphisms as a Risk Factor for Chronic Drug-Induced Liver Injury.International Journal of Environmental Research and Public Health2021
31707421Integrating adverse outcome pathways (AOPs) and high throughput in vitro assays for better risk evaluations, a study with drug-induced liver injury (DILI).ALTEX2020
32424219Cancer genomics predicts disease relapse and therapeutic response to neoadjuvant chemotherapy of hormone sensitive breast cancers.Sci Rep2020
32174981Editorial: Deep Learning for Toxicity and Disease Prediction.Frontiers in Genetics2020
31720699The landscape of hepatobiliary adverse reactions across 53 herbal and dietary supplements reveals immune-mediated injury as a common cause of hepatitis.Arch Toxicol2020
31371307MicroRNA-138 negatively regulates the hypoxia-inducible factor 1α to suppress melanoma growth and metastasis.Biology Open2019
30195258The influence of drug properties and host factors on delayed onset of symptoms in drug-induced liver injury.Liver International2019
29407200Interplay of gender, age and drug properties on reporting frequency of drug-induced liver injury.Regul Toxicol Pharmacol2018
28931315The Liver Toxicity Knowledge Base (LKTB) and drug-induced liver injury (DILI) classification for assessment of human liver injury.Expert Rev Gastroenterol Hepatol2018
30426823Target-specific toxicity knowledgebase (TsTKb): a novel toolkit for in silico predictive toxicology.Environmental Carcinogenesis and Ecotoxicology Reviews2018
30628866A review on machine learning methods for in silico toxicity prediction.Environmental Carcinogenesis and Ecotoxicology Reviews2018
30274144The Development of a Database for Herbal and Dietary Supplement Induced Liver Toxicity.Int J Mol Sci2018
29443401Pediatric Intestinal Failure-Associated Liver Disease: Challenges in Identifying Clinically Relevant Biomarkers.JPEN J Parenter Enteral Nutr2018
29701277Review article: therapeutic bile acids and the risks for hepatotoxicity.Aliment Pharmacol Ther2018
28164116Drug-Induced Liver Injury.BioMed Research International2017
28350954Integrating Drug's Mode of Action into Quantitative Structure-Activity Relationships for Improved Prediction of Drug-Induced Liver Injury.J Chem Inf Model2017
28640208Associations of Drug Lipophilicity and Extent of Metabolism with Drug-Induced Liver Injury.Int J Mol Sci2017
28849567ArrayTrack: An FDA and Public Genomic Tool.Methods Mol Biol2017
28327365Direct-Acting Antivirals for Chronic Hepatitis C: Can Drug Properties Signal Potential for Liver Injury?Gastroenterology2017
29229971Development of Decision Forest Models for Prediction of Drug-Induced Liver Injury in Humans Using A Large Set of FDA-approved Drugs.Sci Rep2017
27689095Key Challenges and Opportunities Associated with the Use of In Vitro Models to Detect Human DILI: Integrated Risk Assessment and Mitigation Plans.Biomed Res Int2016
27302180A Model to predict severity of drug-induced liver injury in humans.Hepatology2016
26948801DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans.Drug Discov Today2016
27311476QSAR Models at the US FDA/NCTR.Methods Mol Biol2016
26501477NETBAGs: a network-based clustering approach with gene signatures for cancer subtyping analysis.Biomark Med2015
25697799Predicting hepatotoxicity using ToxCast in vitro bioactivity and chemical structure.Chemical Research in Toxicology2015
25912521Drug-induced liver injury: Interactions between drug properties and host factors.Journal of Hepatology2015
24958025A testing strategy to predict risk for drug-induced liver injury in humans using high-content screen assays and the 'rule-of-two' model.Arch Toxicol2014
25559675Mining hidden knowledge for drug safety assessment: topic modeling of LiverTox as a case study.BMC Bioinformatics2014
24464804High daily dose and being a substrate of cytochrome P450 enzymes are two important predictors of drug-induced liver injury.Drug Metab Dispos2014
24857265Predicting idiosyncratic drug-induced liver injury: some recent advances.Expert Rev Gastroenterol Hepatol2014
24521015Toward predictive models for drug-induced liver injury in humans: are we there yet?Biomark Med2014
23258593High lipophilicity and high daily dose of oral medications are associated with significant risk for drug-induced liver injury.Hepatology2013
23997115Quantitative structure-activity relationship models for predicting drug-induced liver injury based on FDA-approved drug labeling annotation and using a large collection of drugs.Toxicol Sci2013
24267543A systems approach for analysis of high content screening assay data with topic modeling.BMC Bioinformatics2013
23486446The liver toxicity knowledge base: a systems approach to a complex end point.Clin Pharmacol Ther2013
23395088A unifying ontology to integrate histological and clinical observations for drug-induced liver injury.Am J Pathol2013
22122743Is toxicogenomics a more reliable and sensitive biomarker than conventional indicators from rats to predict drug-induced liver injury in humans?Chem Res Toxicol2012
22790972A decade of toxicogenomic research and its contribution to toxicological science.Toxicol Sci2012
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National Center for Toxicological Research
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National Center for Toxicological Research (NCTR)
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Center for Drug Evaluations and Research (CDER)
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College of Life Sciences, Zhejiang University
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SAS Institute Inc Cary
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SAS Institute
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