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

Cited by (400)

Items 201–300 of 400

1. Drug-Induced Liver Injury (DILI) Classification and Its Application on Human DILI Risk Prediction
   Shraddha Thakkar, Minjun Chen, Huixiao Hong, Zhichao Liu, Hong Fang, Weida Tong · 2018 · Methods in pharmacology and toxicology
2. Abbreviated Profile of Drugs (APOD): modeling drug safety profiles to prioritize investigational COVID-19 treatments
   Chaitanya N. Hiremath · 2021 · Heliyon
3. Etiopathogenesis and pathophysiology of cholestasis
   Maitane Asensio, Sara Ortiz-Rivero, Ana Morente-Carrasco, José J.G. Marı́n · 2022 · Exploration of Digestive Diseases
4. Computational approaches to predict the toxicity of bioactive natural products: a mini review of methodologies
   Kwanyong Choi, Ji Yeon Kim · 2024 · Food Science and Biotechnology
5. Real-world application of molecular docking in drug discovery
   Somenath Dutta, Indrani Biswas, Subhabrata Goswami, Ananya Verma · 2025 · Advances in pharmacology
6. High-Throughput Assessment of Bile Salt Export Pump Inhibition Using RapidFire-MS and DESI-MS
   Jie Li, Nicolás M. Morato, Lori Westover, Pravien D. Abeywickrema, Jieping Geng, Madison Piassek, David Harden, Iulia I. Strambeanu, Zhicai Shi, R. Graham Cooks et al. · 2024 · ACS Medicinal Chemistry Letters
7. Computational Approaches for Drug-Induced Liver Injury (DILI) Prediction: State of the Art and Challenges
   Olivier J. M. Béquignon, Gopal V. Pawar, Bob van de Water, M Cronin, Gerard J. P. van Westen · 2019 · Elsevier eBooks
8. Use of Patient Health Records to Quantify Drug-Related Pro-arrhythmic Risk
   Mark R. Davies, Michael Martinec, Robert Walls, Roman Schwarz, Gary R. Mirams, Ken Wang, Guido Steiner, Andy Surinach, Carlos Flores, Thierry Lavé et al. · 2020 · Cell Reports Medicine
9. 3D scaffold fabricated with composite material for cell culture and its derived platform for safety evaluation of drugs
   Yanni Zhang, Le Liu, Na Li, Yihua Wang, Xuanfeng Yue · 2021 · Toxicology
10. Hepatic safety of the antifungal triazole agent posaconazole: characterization of adverse event reports in a manufacturer’s safety database
    Rose O’Flynn, Yunping Zhou, Hetty A. Waskin, Ronald Leong, Walter L. Straus · 2022 · Expert Opinion on Drug Safety
11. CYP2C9 and 3A4 play opposing roles in bioactivation and detoxification of diphenylamine NSAIDs
    Mary Alexandra Schleiff, Samantha Crosby, Madison Blue, Benjamin Mark Schleiff, Gunnar Boysen, Grover Paul Miller · 2021 · Biochemical Pharmacology
12. Deriving time-concordant event cascades from gene expression data: A case study for Drug-Induced Liver Injury (DILI)
    Anika Liu, Namshik Han, Jordi Munoz-Muriedas, Andreas Bender · 2022 · PLoS Computational Biology
13. Understanding Conditional Associations between ToxCast in Vitro Readouts and the Hepatotoxicity of Compounds Using Rule-Based Methods
    Samar Y. Mahmoud, Fredrik Svensson, Azedine Zoufir, Dezső Módos, Avid M. Afzal, Andreas Bender · 2019 · Chemical Research in Toxicology
14. Foretelling toxicity: FDA researchers work to predict risk of liver injury from drugs
    Cassandra Willyard · 2016 · Nature Medicine
15. Insights into Drug Cardiotoxicity from Biological and Chemical Data: The First Public Classifiers for FDA DICTrank
    Srijit Seal, Ola Spjuth, Layla Hosseini-Gerami, Miguel García-Ortegón, Shantanu Singh, Andreas Bender, Anne Elizabeth Carpenter · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
16. Improved Detection of Drug-Induced Liver Injury by Integrating Predicted in vivo and in vitro Data
    Srijit Seal, Dominic P. Williams, Layla Hosseini-Gerami, Manas Mahale, Anne Elizabeth Carpenter, Ola Spjuth, Andreas Bender · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
17. Toward Real-time Detection of Drug-induced Liver Injury Using Large Language Models: A Feasibility Study From Clinical Notes
    Suenghataiphorn, Thanathip, Danpanichkul, Pojsakorn, Tribuddharat, Narisara, Kulthamrongsri, Narathorn · 2025 · Journal of Clinical and Experimental Hepatology
18. Optimization of the drug-induced cholestasis index based on advanced modeling for predicting liver toxicity
    Annika Drees, Vahid Nassiri, Andrés Tabernilla, Jan Serroyen, Emmanuel M. Gustin, Bruna dos Santos Rodrigues, Darren Michael Moss, Ann De Smedt, Mathieu Vinken, Freddy Van Goethem et al. · 2025 · Toxicology
19. Comparative Analysis of Species-Specific Hepatocyte Function and Drug Effects in a Liver Microphysiological System PhysioMimix LC12 and 96-Well Plates
    Chander K. Negi, Courtney Sakolish, Han-Hsuan Doris Tsai, Katharina S. Nitsche, Han Gang, Piyush Bajaj, Stephen Ferguson, Jason P. Stanko, Philip G. Hewitt, David A. Kukla et al. · 2025 · ACS Pharmacology & Translational Science
20. Toward Integrative Predictive Toxicology: Advanced Methods for Drug Toxicity and Safety Prediction
    Eleonora Gianquinto, Matteo Bersani, Lucrezia Greta Armando, Lara Davani, Clara Cena, Angela De Simone, Francesca Spyrakis · 2026 · Wiley Interdisciplinary Reviews Computational Molecular Science
21. Evaluation of AutoML Frameworks for Computational ADMET Screening in Drug Discovery & Development
    Advaith Nila Narayanan, Shyam Sundar Das, T. T. Mirnalinee · 2023 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
22. In vitro and in vivo metabolic activation and hepatotoxicity of chlorzoxazone mediated by CYP3A
    Chen Sun, Mingyu Zhang, Chunjing Guan, Weiwei Li, Ying Peng, Jiang Zheng · 2024 · Archives of Toxicology
23. A computational framework to in silico screen for drug-induced hepatocellular toxicity
    Yueshan Zhao, Ji Youn Park, Da Yang, Min Zhang · 2024 · Toxicological Sciences
24. Drug-induced liver injury prediction based on graph convolutional networks and toxicogenomics
    Tong Xiao, Ying Liu, Kaimiao Hu, Kaimin Guo, Mengying Zhang, Tingting Wang, Weihua Lei, Wenjia Wang, Shuiping Zhou, Yunhui Hu et al. · 2025 · PLoS Computational Biology
25. Novel indirect co-culture of immortalised hepatocytes with monocyte derived macrophages is characterised by pro-inflammatory cytokine networks
    Florian Padberg, Tessa Höper, Sebastian Henkel, Dominik Driesch, Andreas Luch, Sebastian Zellmer · 2021 · Toxicology in Vitro
26. Reproducibility and robustness of high-throughput S1500+ transcriptomics on primary rat hepatocytes for chemical-induced hepatotoxicity assessment
    Fan Lee, Imran Shah, Yun-Ting Soong, Jiangwa Xing, Inn Chuan Ng, Farah Tasnim, Hanry Yu · 2021 · Current Research in Toxicology
27. Identification of reversible OATP1B1 and time-dependent CYP3A4 inhibition as the major risk factors for drug-induced cholestasis (DIC)
    Vlasia Kastrinou‐Lampou, Raquel Rodríguez-Pérez, Birk Poller, Felix Huth, Zsuzsanna Gáborik, Beáta Mártonné-Tóth, Csilla Temesszentandrási‐Ambrus, Heiko S. Schadt, Gerd Achim Kullak-Ublick, Michael Arand et al. · 2024 · Archives of Toxicology
28. Prediction of Drug‐Induced Liver Injury: From Molecular Physicochemical Properties and Scaffold Architectures to Machine Learning Approaches
    Yulong Zhao, Zhoudong Zhang, Xiaotian Kong, Kai Wang, Yaxuan Wang, Jie Jia, Huanqiu Li, Sheng Tian · 2024 · Chemical Biology & Drug Design
29. Comprehensive analysis of high-throughput transcriptomics to distinguish drug-induced liver injury (DILI) phenotypes
    Sangyeon Shin, Chanhee Lee, Taesung Park · 2025 · Archives of Toxicology
30. In Vitro Assessment of Drug‐Induced Liver Injury Using Three‐Dimensional Cultured HepaSH Cells Derived From Chimeric Mouse Model With Humanized Liver
    Xingming Liu, Yuichiro Higuchi, Yuta Sakamoto, Shota Yanagida, Shotaro Uehara, Hiroshi Suemizu, Yasunari Kanda, Hiroyuki Kawagishi · 2025 · Journal of Applied Toxicology
31. Multi-to-uni modal knowledge transfer pre-training for molecular representation learning
    Zhankun Xiong, Ziyan Wang, Feng Huang, Minyao Qiu, Shuyan Fang, Liuqing Yang, Xionghui Zhou, Shichao Liu, Ping Zhang, Wen Zhang · 2026 · Nature Communications
32. Integration of in vitro and in silico approaches enables prediction of drug-induced liver injury
    René Geci, Ahenk Zeynep Sayin, Stephan Schaller, Lars Kuepfer · 2026 · Archives of Toxicology
33. Interpretation, Integration, and Implementation of In Vitro Assay Data: The Predictive Toxicity Challenge
    Deborah S. Light, Michael D. Aleo, J. Gerry Kenna · 2018 · Methods in pharmacology and toxicology
34. Orosomucoid 2 upregulation mediates liver injury‐induced colorectal cancer liver metastasis by promoting EMT and cell migration
    Xundong Wei, Lei Wang, Bing Yang, Yuanyuan Ma, Wei Yuan, Jie Ma · 2024 · Cancer Science
35. Comprehensive analysis of the toxicity-related findings from repeated-dose subacute toxicity studies of industrial chemicals in male rats
    Jun‐ichi Takeshita, Yoshitaka Goto, Shinji Yamamoto, Takamitsu Sasaki, Kouichi Yoshinari · 2024 · Critical Reviews in Toxicology
36. Multi-organ model assessment of neurotoxicity following exposure of liver spheroids to drugs
    Wu, Wei, Anas, Faiza, Koc, Baran, Tian, Lipeng, Hasselkus, Ryan, Rezania, Darian, Sharareh, Sophia, Farberov, Luba, Zlotnik, Dor, Alon, Ariel et al. · 2025 · Biomedicine & Pharmacotherapy
37. Best practice and reproducible science are required to advance artificial intelligence in real-world applications
    Zhichao Liu, Ting Li, Skylar Connor, Shraddha Thakkar, Ruth Angela Roberts, Weida Tong · 2022 · Briefings in Bioinformatics
38. Association between adverse outcomes of hepatitis A and acetaminophen use: A population-based cohort study
    Gi Chan Park, Jung Wha Chung, Eun Sun Jang, Jin‐Wook Kim · 2023 · Digestive and Liver Disease
39. A novel quantitative computer-assisted drug-induced liver injury causality assessment tool (DILI-CAT)
    Tillmann, Hans L., Suzuki, Ayako, Merz, Michael, Hermann, Richard, Rockey, Don C. · 2022 · PLOS ONE
40. Drug-Induced Liver Injury
    Yunzhou Li, Huiping Zhou · 2021 · Elsevier eBooks
41. Deep Learning-based Modeling for Preclinical Drug Safety Assessment
    Guillaume Jaume, Simone de Brot, Andrew H. Song, Drew F. K. Williamson, Lukas Oldenburg, Andrew Zhang, Richard J. Chen, Javier Asín, Sohvi Blatter, Martina Dettwiler et al. · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
42. Systematic analysis of hepatotoxicity: combining literature mining and AI language models
    Chris Bauer, Long Tran Duc Dang, Twan van den Beucken, Johannes Schuchhardt, Ralf Herwig · 2025 · Frontiers in Artificial Intelligence
43. From hazard to risk prioritization: a case study to predict drug-induced cholestasis using physiologically based kinetic modeling
    Véronique M P de Bruijn, Ivonne M.C.M. Rietjens · 2024 · Archives of Toxicology
44. Addressing Class Imbalance in Bayesian Classification Through Posterior Probability Adjustment
    Vahid Nassiri, Fetene B. Tekle, Kanaka Tatikola, Helena Geys · 2024 · Biometrical Journal
45. Exploration of read-across-based predictions for unveiling the risk of FDA-labeled drug-induced cardiotoxicity (DICT) rank: A careful classification of the most extensive reference list of human drugs
    Sapna Kumari Pandey, Kunal Roy · 2025 · In Silico Research in Biomedicine
46. A multi-dimensional computational framework of drug-induced hepatotoxicity: integrating molecular structure features with disease pathogenesis
    Huayu Zhong, Juanji Wang, Xiaoxiao Liu, Xiaoyun Wei, Chengcheng Zhou, Taiyan Zou, Xin Han, Lingyun Mo, Wenling Qin, Yonghong Zhang · 2025 · Briefings in Bioinformatics
47. A pharmacovigilance study of daptomycin use in infants under 1 year old based on the FDA adverse event reporting system
    Lingling Ye, Guimu Guo, Hong Zhou, Ming Chen, Ziyun Fan, Jinhua Zhang · 2025 · Scientific Reports
48. Contextualization of causal regulatory networks from toxicogenomics data applied to drug-induced liver injury
    Panuwat Trairatphisan, Terezinha Maria de Souza, Jos C. S. Kleinjans, Danyel G. J. Jennen, Julio Sáez-Rodríguez · 2021 · Toxicology Letters
49. Protein-protein interaction-based high throughput screening for adenylyl cyclase 1 inhibitors: Design, implementation, and discovery of a novel chemotype
    Tiffany S. Dwyer, Joseph B. O’Brien, Christopher P. Ptak, Justin E. LaVigne, Daniel Patrick Flaherty, Val J. Watts, David L. Roman · 2022 · Frontiers in Pharmacology
50. Comparative analysis of classification techniques for topic-based biomedical literature categorisation
    Ihor Stepanov, Arsentii Ivasiuk, Oleksandr Yavorskyi, Alina Frolova · 2023 · Frontiers in Genetics
51. Restoring Colistin Sensitivity in Multidrug-Resistant Pathogenic E. coli Using Cinacalcet Hydrochloride
    Chenchen Wang, Ziyi Zhang, Di Liu, Xiaodan Li, Zhaoran Zhang, Yan Zeng, Wenqi Dong, Chen Tan, Manli Liu · 2024 · International Journal of Molecular Sciences
52. In silico analysis of ethyl acetate Bruguiera gymnorhiza leaf extracts as an anti-inflammatory agent
    Fifi Atma Nur Diana, Putut Har Riyadi, Eko Susanto · 2024 · Jurnal Pengolahan Hasil Perikanan Indonesia
53. Identification of average molecular weight (AMW) as a useful chemical descriptor to discriminate liver injury-inducing drugs
    Yuki Shimizu, Takamitsu Sasaki, Jun‐ichi Takeshita, Michiko WATANABE, Ryota Shizu, Takuomi Hosaka, Kouichi Yoshinari · 2021 · PLoS ONE
54. KNIME workflow for retrieving causal drug and protein interactions, building networks, and performing topological enrichment analysis demonstrated by a DILI case study
    Barbara Füzi, Rahuman S. Malik‐Sheriff, Emma Jayne Manners, Henning Hermjakob, Gerhard Franz Ecker · 2022 · Journal of Cheminformatics
55. Detection of Synergistic Interaction on an Additive Scale Between Two Drugs on Abnormal Elevation of Serum Alanine Aminotransferase Using Machine-Learning Algorithms
    Hayato Akimoto, Takuya Nagashima, Kimino Minagawa, T. Hayakawa, Yasuo Takahashi, Satoshi Asai · 2022 · Frontiers in Pharmacology
56. A Multi-View Learning-Based Rule Extraction Algorithm For Accurate Hepatotoxicity Prediction
    Yuting Zhong, Bowei Yan, Kunhong Liu, Yong Nan Xu, Song He, Xiaochen Bo · 2022 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
57. Estimating drug-induced liver injury risk by in vitro molecular initiation response and pharmacokinetic parameters for during early drug development
    Takumi Nukaga, Akinori Takemura, Yuka Endo, Yoshihiro Uesawa, Kousei Ito · 2023 · Toxicology Research
58. Computer Prediction of Adverse Drug Effects on the Cardiovascular System
    Sergey M. Ivanov, Alexey A. Lagunin, Dmitry A. Filimonov, Vladimir Poroikov · 2018 · Pharmaceutical Chemistry Journal
59. Prediction of bioactive compounds hepatotoxicity using in silico and in vitro analysis
    Kwanyong Choi, So Yeon Lee, Sunyong Yoo, Hyoung‐Yun Han, Soo-yeon Park, Ji Yeon Kim · 2024 · Applied Biological Chemistry
60. Development of a complex 3D in vitro alternative model to evaluate the safety of advanced materials
    Melissa Anne Tutty, Tecla Simone, Adriele Prina‐Mello · 2025 · Toxicology and Applied Pharmacology
61. Hierarchical Mechanistic Modeling of Complex Toxicity Endpoints from Public Concentration–Response Data
    Elena Chung, Daniel P. Russo, Lauren M. Aleksunes, Genoa R. Warner, Hao Zhu · 2026 · Environmental Science & Technology
62. A Multimodal deep learning method for predicting drug-induced liver injury using structural and sequential molecular representations
    Tanya Liyaqat, Tanvir Ahmad, Md Khalid Jamal · 2026 · Journal of Computer-Aided Molecular Design
63. AI and machine learning for predicting in vitro/preclinical drug toxicities and adverse events in clinical patients
    Natalie M. Jusko, Neha Karekar, Albert Cao, Duxin Sun · 2026 · Acta Pharmaceutica Sinica B
64. Advanced human liver models for the assessment of drug-induced liver injury
    Seon Ju Mun, Jaeseo Lee, Yongbo Shin, Myung Jin Son · 2022 · Organoid
65. Drug-induced cholestasis (DIC) predictions based on in vitro inhibition of major bile acid clearance mechanisms
    Vlasia Kastrinou‐Lampou, Raquel Rodríguez-Pérez, Birk Poller, Felix Huth, Heiko S. Schadt, Gerd Achim Kullak-Ublick, Michael Arand, Gian Camenisch · 2024 · Archives of Toxicology
66. Human liver cell-based assays for the prediction of hepatic bile acid efflux transporter inhibition by drugs
    Olivier Fardel, A Moreau, Elodie Jouan, Claire Denizot, Marc Le Vée, Yannick Parmentier · 2025 · Expert Opinion on Drug Metabolism & Toxicology
67. Is ChatGPT Ready for Public Use in Organ-Specific Drug Toxicity Research?
    Skylar Connor, Leihong Wu, Ruth Angela Roberts, Weida Tong · 2025 · Drug Discovery Today
68. BFGTP: A BERT-Guided Two-Stage Molecular Representation Learning Framework for Toxicity Prediction
    Kaimiao Hu, Yuan He, Jianguo Wei, Changming Sun, Jie Geng, Leyi Wei, Ran Su · 2025 · IEEE Journal of Biomedical and Health Informatics
69. BoostDILI: Extreme Gradient Boost-Powered Drug-Induced Liver Injury Prediction and Structural Alerts Generation
    Hillul Chutia, Gori Sankar Borah, Hridoy Jyoti Mahanta, Selvaraman Nagamani · 2025 · Chemical Research in Toxicology
70. Genomics-informed drug-repurposing strategy identifies two therapeutic targets for preventing liver disease associated with metabolic dysfunction
    Hannah M. Seagle, Alexis T. Akerele, Joseph A. DeCorte, Jacklyn N. Hellwege, Joseph H. Breeyear, Jeewoo Kim, Michael G. Levin, Samuel Khodursky, Adam Phillip Bress, Kyung Min Lee et al. · 2025 · The American Journal of Human Genetics
71. Liver-on-Micropillar: a humanized, animal-free platform for high-throughput assessment of drug-induced liver injury
    Ahmed S. M. Ali, Dongwei Wu, Viola Roehrs, Duy Bao Tran Nguyen, Mathias Ziersch, Albert Braeuning, Jens Kurreck · 2025 · Biofabrication
72. Drug-Induced Liver Injury Predictions: Extended Clearance Model and Its Use for Prospective Transporter and Enzyme-Based Hepatic Cell Stress Grading
    Gian Camenisch · 2019 · International Journal of Pharmacy and Chemistry
73. Prediction of Alternative Drug-Induced Liver Injury Classifications Using Molecular Descriptors, Gene Expression Perturbation, and Toxicology Reports
    Wojciech Lesiński, Krzysztof Mnich, Witold Remigiusz Rudnicki · 2021 · Frontiers in Genetics
74. Drug-induced liver injury with autoimmune features secondary to infliximab for ulcerative colitis
    Ailsa Gemmell, Andrew G. Fraser, Karin A. Oien, John Paul Seenan · 2023 · BMJ Case Reports
75. The Association Between Antidepressant Use and Drug-Induced Liver Injury: A Nationwide, Population-Based Case–Control Study in Taiwan
    Ching‐Ya Huang, Ying‐Shu You, Jian-Ming Lai, Cheng‐Li Lin, Hsing-Yu Hsu, Yow‐Wen Hsieh · 2024 · Drugs - Real World Outcomes
76. Hepatic injury and hepatic failure adverse events in 3,4-methylenedioxymethamphetamine users reported to the FDA Adverse Event Reporting System
    Tigran Makunts, Ruben A Abagyan · 2024 · Frontiers in Psychiatry
77. Inhibition of Necroptosis in Acute Pancreatitis: Screening for RIPK1 Inhibitors
    Jiaqi Yao, Yalan Luo, Xiaojun Liu, Ping Wu, Yin Wang, Yan Liu, Hailong Chen, Qingping Wen · 2022 · Processes
78. The risk of drug-induced liver injury associated with flucloxacillin: a nationwide, entropy-balanced cohort study
    Olof Nibell, Jonas Björk, Anton Nilsson, Gunnar Jacobsson, Malin Inghammar · 2024 · Clinical Microbiology and Infection
79. Refining Drug-Induced Cholestasis Prediction: An Explainable Consensus Model Integrating Chemical and Biological Fingerprints
    Palle Steen Helmke, Gerhard Franz Ecker · 2025 · Journal of Chemical Information and Modeling
80. Unravelling drug-induced hepatic steatosis: Clinical sub-phenotypes, outcome prediction, and identification of high-concern drugs and hazardous chemical attributes
    Marta Moreno‐Torres, Ernesto López-Pascual, Erika Moro, Anna Serafina Rapisarda, Birgitte Lindeman, Anouk Verhoeven, Thomas H. Luechtefeld, Eva Serrano‐Candelas, Hubert A. A. M. Dirven, Mathieu Vinken et al. · 2025 · Biomedicine & Pharmacotherapy
81. Liver Safety of the Dual Neurokinin-1/-3 Receptor Antagonist Elinzanetant
    James H. Lewis, Raúl J Andrade, Dominique G. Larrey, Yves Horsmans, Richard A. Anderson, Mila Trajanovic, Esther Groettrup‐Wolfers, Lineke Zuurman · 2026 · Drug Safety
82. ToxiGuard: an AOP-guided mechanistically interpretable framework for multi-organ toxicity prediction
    Caiyun Zhao, Jing Wang, Xiaochen Bo, Song He · 2026 · Archives of Toxicology
83. Fifteen challenges for generative AI applications to cell biology
    Léo Dupire, Aly A. Khan, Theofanis Karaletsos, Shana Kelley, Emma K. Lundberg, Jian Ma, Evan Paull, Stephen R. Quake, Raúl Rabadán, Rowan Cassius et al. · 2026 · Cell
84. dialogi: Utilising NLP With Chemical and Disease Similarities to Drive the Identification of Drug-Induced Liver Injury Literature
    Nicholas M. Katritsis, Anika Liu, Gehad Youssef, Sanjay Rathee, Méabh MacMahon, Woochang Hwang, Lilly Wollman, Namshik Han · 2022 · Frontiers in Genetics
85. Decision forest—a machine learning algorithm for QSAR modeling
    Huixiao Hong, Jie Liu, Wenjing Guo, Fan Dong, Myeongsang Lee, Liang Xu, Zoe Li, Meng Song, Minjun Chen, Wen Zou et al. · 2023 · Elsevier eBooks
86. MDTR: a knowledge-guided interpretable representation for quantifying liver toxicity at transcriptomic level
    Inyoung Sung, Sangseon Lee, Dongmin Bang, Jungseob Yi, Sunho Lee, Sun Kim · 2025 · Frontiers in Pharmacology
87. Toxicological potential of substances in spray-formulated degreasers and lubricants – With a literature review on asthma potentials of ammonia, maleic anhydride and methyl methacrylate
    Jorid Birkelund Sørli, Hyun Kil Shin, Karen Bo Frydendall, Eva Bay Wedebye, Nikolai Georgiev Nikolov, Marie Frederiksen, Niels Hadrup · 2025 · Toxicology
88. Embracing the Dark Side: Computational Approaches to Unveil the Functionality of Genes Lacking Biological Annotation in Drug-Induced Liver Injury
    Terezinha Maria de Souza, Panuwat Trairatphisan, Janet Piñero, Laura Ines Furlong, Julio Sáez-Rodríguez, Jos C. S. Kleinjans, Danyel G. J. Jennen · 2018 · Frontiers in Genetics
89. Pharmacokinetic and pharmacodynamic herb–drug interactions of common over‐the‐counter pain medications
    Chung‐Kai Sun, Tung‐Hu Tsai · 2023 · Biomedical Chromatography
90. Control compounds for drug-induced liver injury evaluation: Evidence from Database of Adverse Event Notifications
    Guiying Gao, Guo Yu, Guo‐Fu Li · 2024 · Journal of Hepatology
91. Uso de antipiréticos en Pediatría
    Valeria Gómez Toscano · 2018 · Acta Pediátrica de México
92. Genomics-Informed Drug Repurposing Strategy Identifies Novel Therapeutic Targets for Metabolic Dysfunction-Associated Steatotic Liver Disease
    Hannah M. Seagle, Alexis T. Akerele, Joseph A. DeCorte, Jacklyn N. Hellwege, Joseph H. Breeyear, Jeewoo Kim, Michael G. Levin, Samuel Khodurksy, Adam Phillip Bress, Kyung Min Lee et al. · 2025 · medRxiv
93. 3P's (Pharmacokinetic, Pharmacodynamic, and Pharmacogenomic) of Valproate: What's New?
    Muhamad Zainal Ahmad · 2023 · International Journal of Pharmaceuticals Nutraceuticals and Cosmetic Science
94. DRUG-INDUCED LIVER INJURY: MECHANISMS, METHODS FOR PRE-CLINICAL ASSESSMENT, AND A MEDICINAL CHEMIST’S PERSPECTIVE
    Anh T. Tran, James J. Crawford, Debashis Mandal, Tezcan Güney, Jamie Karmel · 2023 · Medicinal chemistry reviews
95. Bioengineering of novel organotypic 3D human liver tissue model for drug-induced liver injury and toxicity studies
    Camden Holm, Joseph F. Finelli, Mateo F. Frare, Alex Armento, Seyoum Ayehunie · 2025 · Frontiers in Toxicology
96. Drug transporters in drug disposition – highlights from the year 2024
    Philip Sandoval, Pallabi Mitra, Upendra A. Argikar, Masanori Nakakariya, Diane Ramsden, Charles J. Rotter, Kimio Tohyama, Paresh P. Chothe · 2025 · Drug Metabolism Reviews
97. Identification of natural product-based drug combination (NPDC) using artificial intelligence
    Tianle Niu, Yimiao Zhu, Minjie Mou, Tingting Fu, Hao Yang, Huaicheng Sun, Yuxuan Liu, Feng Zhu, Yang Zhang, Yanxing Liu · 2025 · Chinese Journal of Natural Medicines
98. Leveraging topoisomerase II-mediated DNA damage: repurposing etoposide as a lead compound for apicomplexan parasite control
    Yongchang Li, Zeyun Cui, J P Li, Yang Zhang, Iqra Zafar, Mohamed Abdo Rizk, Hang Li, Shimaa Abd El‒Salam El‒Sayed, Naoaki Yokoyama, Qingyong Guo et al. · 2025 · Frontiers in Veterinary Science
99. Apoptotic signatures allow early and rapid screening of drug-induced liver injury to accelerate drug discovery
    John Hellgren, Bhavik Chouhan, Aydar Uatay, Ramy Elgendy, Julia Lindgren, Naoko Toki, Alessandro Bonetti, Aditi Chaudhari, Kenneth R. Pryde, Patrik Urban Andersson et al. · 2025 · Communications Medicine
100. Machine Learning-Based Models to Predict Drug-Induced Liver Injury (DILI) to Assist Medicinal Chemistry
     Dominga Evangelista, E.R. Nelson, Ben Tehan, Greta Bagnolini, Marinella Roberti, Giovanni Bottegoni · 2026 · Journal of Medicinal Chemistry