148 related articles for article (PubMed ID: 30552098)
1. Meeting the Challenge of Predicting Hepatic Clearance of Compounds Slowly Metabolized by Cytochrome P450 Using a Novel Hepatocyte Model, HepatoPac.
Chan TS; Yu H; Moore A; Khetani SR; Tweedie D
Drug Metab Dispos; 2019 Jan; 47(1):58-66. PubMed ID: 30552098
[TBL] [Abstract][Full Text] [Related]
2. Meeting the challenge of predicting hepatic clearance of compounds slowly metabolized by cytochrome P450 using a novel hepatocyte model, HepatoPac.
Chan TS; Yu H; Moore A; Khetani SR; Tweedie D
Drug Metab Dispos; 2013 Dec; 41(12):2024-32. PubMed ID: 23959596
[TBL] [Abstract][Full Text] [Related]
3. Use of HμREL Human Coculture System for Prediction of Intrinsic Clearance and Metabolite Formation for Slowly Metabolized Compounds.
Hultman Ia; Vedin C; Abrahamsson A; Winiwarter S; Darnell M
Mol Pharm; 2016 Aug; 13(8):2796-807. PubMed ID: 27377099
[TBL] [Abstract][Full Text] [Related]
4. In Vitro to In Vivo Extrapolation of Metabolic Clearance for UGT Substrates Using Short-Term Suspension and Long-Term Co-cultured Human Hepatocytes.
Docci L; Klammers F; Ekiciler A; Molitor B; Umehara K; Walter I; Krähenbühl S; Parrott N; Fowler S
AAPS J; 2020 Oct; 22(6):131. PubMed ID: 33051808
[TBL] [Abstract][Full Text] [Related]
5. In Vitro Metabolism of Slowly Cleared G Protein-Coupled Receptor 139 Agonist TAK-041 Using Rat, Dog, Monkey, and Human Hepatocyte Models (HepatoPac): Correlation with In Vivo Metabolism.
Kamel A; Bowlin S; Hosea N; Arkilo D; Laurenza A
Drug Metab Dispos; 2021 Feb; 49(2):121-132. PubMed ID: 33273044
[TBL] [Abstract][Full Text] [Related]
6. Low-Turnover Drug Molecules: A Current Challenge for Drug Metabolism Scientists.
Hutzler JM; Ring BJ; Anderson SR
Drug Metab Dispos; 2015 Dec; 43(12):1917-28. PubMed ID: 26363026
[TBL] [Abstract][Full Text] [Related]
7. Reaction Phenotyping of Low-Turnover Compounds in Long-Term Hepatocyte Cultures Through Persistent Selective Inhibition of Cytochromes P450.
Smith S; Lyman M; Ma B; Tweedie D; Menzel K
Drug Metab Dispos; 2021 Nov; 49(11):995-1002. PubMed ID: 34407991
[TBL] [Abstract][Full Text] [Related]
8. Evaluation of Erythromycin as a Tool to Assess CYP3A Contribution of Low Clearance Compounds in a Long-Term Hepatocyte Culture.
Chan TS; Scaringella YS; Raymond K; Taub ME
Drug Metab Dispos; 2020 Aug; 48(8):690-697. PubMed ID: 32503882
[TBL] [Abstract][Full Text] [Related]
9. Generating an in vitro-in vivo correlation for metabolism and liver enrichment of a hepatitis C virus drug, faldaprevir, using a rat hepatocyte model (HepatoPac).
Ramsden D; Tweedie DJ; St George R; Chen LZ; Li Y
Drug Metab Dispos; 2014 Mar; 42(3):407-14. PubMed ID: 24366905
[TBL] [Abstract][Full Text] [Related]
10. Bridging in vitro and in vivo metabolism and transport of faldaprevir in human using a novel cocultured human hepatocyte system, HepatoPac.
Ramsden D; Tweedie DJ; Chan TS; Taub ME; Li Y
Drug Metab Dispos; 2014 Mar; 42(3):394-406. PubMed ID: 24366904
[TBL] [Abstract][Full Text] [Related]
11. Comparison of Human Long-Term Liver Models for Clearance Prediction of Slowly Metabolized Compounds.
Preiss LC; Georgi K; Lauschke VM; Petersson C
Drug Metab Dispos; 2024 May; 52(6):539-547. PubMed ID: 38604730
[TBL] [Abstract][Full Text] [Related]
12. Metabolite formation kinetics and intrinsic clearance of phenacetin, tolbutamide, alprazolam, and midazolam in adenoviral cytochrome P450-transfected HepG2 cells and comparison with hepatocytes and in vivo.
Donato MT; Hallifax D; Picazo L; Castell JV; Houston JB; Gomez-Lechón MJ; Lahoz A
Drug Metab Dispos; 2010 Sep; 38(9):1449-55. PubMed ID: 20501911
[TBL] [Abstract][Full Text] [Related]
13. Application of the Extended Clearance Classification System (ECCS) in Drug Discovery and Development: Selection of Appropriate In Vitro Tools and Clearance Prediction.
Umehara K; Cantrill C; Wittwer MB; Di Lenarda E; Klammers F; Ekiciler A; Parrott N; Fowler S; Ullah M
Drug Metab Dispos; 2020 Oct; 48(10):849-860. PubMed ID: 32739889
[TBL] [Abstract][Full Text] [Related]
14. Metabolic Profiling of Human Long-Term Liver Models and Hepatic Clearance Predictions from In Vitro Data Using Nonlinear Mixed-Effects Modeling.
Kratochwil NA; Meille C; Fowler S; Klammers F; Ekiciler A; Molitor B; Simon S; Walter I; McGinnis C; Walther J; Leonard B; Triyatni M; Javanbakht H; Funk C; Schuler F; Lavé T; Parrott NJ
AAPS J; 2017 Mar; 19(2):534-550. PubMed ID: 28050713
[TBL] [Abstract][Full Text] [Related]
15. Improving Prediction of Metabolic Clearance Using Quantitative Extrapolation of Results Obtained From Human Hepatic Micropatterned Cocultures Model and by Considering the Impact of Albumin Binding.
Da-Silva F; Boulenc X; Vermet H; Compigne P; Gerbal-Chaloin S; Daujat-Chavanieu M; Klieber S; Poulin P
J Pharm Sci; 2018 Jul; 107(7):1957-1972. PubMed ID: 29524447
[TBL] [Abstract][Full Text] [Related]
16. Determination of Human Hepatocyte Intrinsic Clearance for Slowly Metabolized Compounds: Comparison of a Primary Hepatocyte/Stromal Cell Co-culture with Plated Primary Hepatocytes and HepaRG.
Bonn B; Svanberg P; Janefeldt A; Hultman Ia; Grime K
Drug Metab Dispos; 2016 Apr; 44(4):527-33. PubMed ID: 26851239
[TBL] [Abstract][Full Text] [Related]
17. Evaluation and optimization of a microcavity plate-based human hepatocyte spheroid model for predicting clearance of slowly metabolized drug candidates.
Kukla DA; Belair DG; Stresser DM
Drug Metab Dispos; 2024 May; ():. PubMed ID: 38777596
[TBL] [Abstract][Full Text] [Related]
18. A Novel Plated Hepatocyte Relay Assay (PHRA) for In Vitro Evaluation of Hepatic Metabolic Clearance of Slowly Metabolized Compounds.
Peng CC; Doshi U; Prakash C; Li AP
Drug Metab Lett; 2016; 10(1):3-15. PubMed ID: 26282592
[TBL] [Abstract][Full Text] [Related]
19.
Riede J; Wollmann BM; Molden E; Ingelman-Sundberg M
Drug Metab Dispos; 2021 Jun; ():. PubMed ID: 34074732
[TBL] [Abstract][Full Text] [Related]
20. Application of Micropatterned Cocultured Hepatocytes to Evaluate the Inductive Potential and Degradation Rate of Major Xenobiotic Metabolizing Enzymes.
Dixit V; Moore A; Tsao H; Hariparsad N
Drug Metab Dispos; 2016 Feb; 44(2):250-61. PubMed ID: 26658225
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
