188 related articles for article (PubMed ID: 28145637)
1. In Silico Identification of Proteins Associated with Drug-induced Liver Injury Based on the Prediction of Drug-target Interactions.
Ivanov S; Semin M; Lagunin A; Filimonov D; Poroikov V
Mol Inform; 2017 Jul; 36(7):. PubMed ID: 28145637
[TBL] [Abstract][Full Text] [Related]
2. In-silico approach for drug induced liver injury prediction: Recent advances.
Saini N; Bakshi S; Sharma S
Toxicol Lett; 2018 Oct; 295():288-295. PubMed ID: 29981923
[TBL] [Abstract][Full Text] [Related]
3. In Silico Prediction of Drug-Induced Liver Injury Based on Ensemble Classifier Method.
Wang Y; Xiao Q; Chen P; Wang B
Int J Mol Sci; 2019 Aug; 20(17):. PubMed ID: 31443562
[TBL] [Abstract][Full Text] [Related]
4. Evidence-based selection of training compounds for use in the mechanism-based integrated prediction of drug-induced liver injury in man.
Dragovic S; Vermeulen NP; Gerets HH; Hewitt PG; Ingelman-Sundberg M; Park BK; Juhila S; Snoeys J; Weaver RJ
Arch Toxicol; 2016 Dec; 90(12):2979-3003. PubMed ID: 27659300
[TBL] [Abstract][Full Text] [Related]
5. Machine-Learning Prediction of Oral Drug-Induced Liver Injury (DILI) via Multiple Features and Endpoints.
Liu X; Zheng D; Zhong Y; Xia Z; Luo H; Weng Z
Biomed Res Int; 2020; 2020():4795140. PubMed ID: 32509859
[TBL] [Abstract][Full Text] [Related]
6. In Vitro Drug-Induced Liver Injury Prediction: Criteria Optimization of Efflux Transporter IC50 and Physicochemical Properties.
Yucha RW; He K; Shi Q; Cai L; Nakashita Y; Xia CQ; Liao M
Toxicol Sci; 2017 Jun; 157(2):487-499. PubMed ID: 28369588
[TBL] [Abstract][Full Text] [Related]
7. Insights into mechanisms and severity of drug-induced liver injury via computational systems toxicology approach.
Peng Y; Wu Z; Yang H; Cai Y; Liu G; Li W; Tang Y
Toxicol Lett; 2019 Sep; 312():22-33. PubMed ID: 31063831
[TBL] [Abstract][Full Text] [Related]
8. 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.
Chen M; Hong H; Fang H; Kelly R; Zhou G; Borlak J; Tong W
Toxicol Sci; 2013 Nov; 136(1):242-9. PubMed ID: 23997115
[TBL] [Abstract][Full Text] [Related]
9. Characteristic molecular and proteomic signatures of drug-induced liver injury in a rat model.
Eun JW; Bae HJ; Shen Q; Park SJ; Kim HS; Shin WC; Yang HD; Jin CY; You JS; Kang HJ; Kim H; Ahn YM; Park WS; Lee JY; Nam SW
J Appl Toxicol; 2015 Feb; 35(2):152-64. PubMed ID: 25231249
[TBL] [Abstract][Full Text] [Related]
10. In Silico Prediction of Drug-Induced Liver Injury Based on Adverse Drug Reaction Reports.
Zhu XW; Li SJ
Toxicol Sci; 2017 Aug; 158(2):391-400. PubMed ID: 28521054
[TBL] [Abstract][Full Text] [Related]
11. [The trends in predicting drug-induced liver injury].
Takemura A; Ito K
Nihon Yakurigaku Zasshi; 2020; 155(6):401-405. PubMed ID: 33132258
[TBL] [Abstract][Full Text] [Related]
12. Development of a Battery of
Rathman J; Yang C; Ribeiro JV; Mostrag A; Thakkar S; Tong W; Hobocienski B; Sacher O; Magdziarz T; Bienfait B
Chem Res Toxicol; 2021 Feb; 34(2):601-615. PubMed ID: 33356149
[TBL] [Abstract][Full Text] [Related]
13. Translating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps).
Liu Z; Shi Q; Ding D; Kelly R; Fang H; Tong W
PLoS Comput Biol; 2011 Dec; 7(12):e1002310. PubMed ID: 22194678
[TBL] [Abstract][Full Text] [Related]
14. Evaluation of multiple mechanism-based toxicity endpoints in primary cultured human hepatocytes for the identification of drugs with clinical hepatotoxicity: Results from 152 marketed drugs with known liver injury profiles.
Zhang J; Doshi U; Suzuki A; Chang CW; Borlak J; Li AP; Tong W
Chem Biol Interact; 2016 Aug; 255():3-11. PubMed ID: 26581450
[TBL] [Abstract][Full Text] [Related]
15. Comparing Machine Learning Algorithms for Predicting Drug-Induced Liver Injury (DILI).
Minerali E; Foil DH; Zorn KM; Lane TR; Ekins S
Mol Pharm; 2020 Jul; 17(7):2628-2637. PubMed ID: 32422053
[TBL] [Abstract][Full Text] [Related]
16. The Liver Toxicity Knowledge Base (LKTB) and drug-induced liver injury (DILI) classification for assessment of human liver injury.
Thakkar S; Chen M; Fang H; Liu Z; Roberts R; Tong W
Expert Rev Gastroenterol Hepatol; 2018 Jan; 12(1):31-38. PubMed ID: 28931315
[TBL] [Abstract][Full Text] [Related]
17. Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure.
Liu A; Walter M; Wright P; Bartosik A; Dolciami D; Elbasir A; Yang H; Bender A
Biol Direct; 2021 Jan; 16(1):6. PubMed ID: 33461600
[TBL] [Abstract][Full Text] [Related]
18. Current limitations and future opportunities for prediction of DILI from in vitro.
Funk C; Roth A
Arch Toxicol; 2017 Jan; 91(1):131-142. PubMed ID: 27766365
[TBL] [Abstract][Full Text] [Related]
19. Toward predictive models for drug-induced liver injury in humans: are we there yet?
Chen M; Bisgin H; Tong L; Hong H; Fang H; Borlak J; Tong W
Biomark Med; 2014; 8(2):201-13. PubMed ID: 24521015
[TBL] [Abstract][Full Text] [Related]
20. Strategy for Hepatotoxicity Prediction Induced by Drug Reactive Metabolites Using Human Liver Microsome and Online 2D-Nano-LC-MS Analysis.
Zhuo Y; Wu JL; Yan X; Guo MQ; Liu N; Zhou H; Liu L; Li N
Anal Chem; 2017 Dec; 89(24):13167-13175. PubMed ID: 29172493
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
