These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

187 related articles for article (PubMed ID: 27012902)

  • 1. Prediction of the precipitation profiles of weak base drugs in the small intestine using a simplified transfer ("dumping") model coupled with in silico modeling and simulation approach.
    Kambayashi A; Yasuji T; Dressman JB
    Eur J Pharm Biopharm; 2016 Jun; 103():95-103. PubMed ID: 27012902
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Precipitation in the small intestine may play a more important role in the in vivo performance of poorly soluble weak bases in the fasted state: case example nelfinavir.
    Shono Y; Jantratid E; Dressman JB
    Eur J Pharm Biopharm; 2011 Oct; 79(2):349-56. PubMed ID: 21527341
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An in vitro biorelevant gastrointestinal transfer (BioGIT) system for forecasting concentrations in the fasted upper small intestine: Design, implementation, and evaluation.
    Kourentas A; Vertzoni M; Stavrinoudakis N; Symillidis A; Brouwers J; Augustijns P; Reppas C; Symillides M
    Eur J Pharm Sci; 2016 Jan; 82():106-14. PubMed ID: 26594026
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predicting the Changes in Oral Absorption of Weak Base Drugs Under Elevated Gastric pH Using an In Vitro-In Silico-In Vivo Approach: Case Examples-Dipyridamole, Prasugrel, and Nelfinavir.
    Kambayashi A; Dressman JB
    J Pharm Sci; 2019 Jan; 108(1):584-591. PubMed ID: 30423339
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An in vitro methodology for forecasting luminal concentrations and precipitation of highly permeable lipophilic weak bases in the fasted upper small intestine.
    Psachoulias D; Vertzoni M; Butler J; Busby D; Symillides M; Dressman J; Reppas C
    Pharm Res; 2012 Dec; 29(12):3486-98. PubMed ID: 22890986
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Integration of Precipitation Kinetics From an In Vitro, Multicompartment Transfer System and Mechanistic Oral Absorption Modeling for Pharmacokinetic Prediction of Weakly Basic Drugs.
    Patel S; Zhu W; Xia B; Sharma N; Hermans A; Ehrick JD; Kesisoglou F; Pennington J
    J Pharm Sci; 2019 Jan; 108(1):574-583. PubMed ID: 30395833
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An in vitro-in silico-in vivo approach to predicting the oral pharmacokinetic profile of salts of weak acids: case example dantrolene.
    Kambayashi A; Dressman JB
    Eur J Pharm Biopharm; 2013 May; 84(1):200-7. PubMed ID: 23262163
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prediction of Ketoconazole absorption using an updated in vitro transfer model coupled to physiologically based pharmacokinetic modelling.
    Ruff A; Fiolka T; Kostewicz ES
    Eur J Pharm Sci; 2017 Mar; 100():42-55. PubMed ID: 28011125
    [TBL] [Abstract][Full Text] [Related]  

  • 9. In vitro-in vivo correlation of the effect of supersaturation on the intestinal absorption of BCS Class 2 drugs.
    Higashino H; Hasegawa T; Yamamoto M; Matsui R; Masaoka Y; Kataoka M; Sakuma S; Yamashita S
    Mol Pharm; 2014 Mar; 11(3):746-54. PubMed ID: 24460473
    [TBL] [Abstract][Full Text] [Related]  

  • 10. In vitro dissolution methodology, mini-Gastrointestinal Simulator (mGIS), predicts better in vivo dissolution of a weak base drug, dasatinib.
    Tsume Y; Takeuchi S; Matsui K; Amidon GE; Amidon GL
    Eur J Pharm Sci; 2015 Aug; 76():203-12. PubMed ID: 25978875
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Simulation of Intraluminal Performance of Lipophilic Weak Bases in Fasted Healthy Adults Using DDDPlus
    Statelova M; Vertzoni M; Kourentas A
    AAPS J; 2022 Aug; 24(5):89. PubMed ID: 35974242
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting the oral absorption of a poorly soluble, poorly permeable weak base using biorelevant dissolution and transfer model tests coupled with a physiologically based pharmacokinetic model.
    Wagner C; Jantratid E; Kesisoglou F; Vertzoni M; Reppas C; B Dressman J
    Eur J Pharm Biopharm; 2012 Sep; 82(1):127-38. PubMed ID: 22652546
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Analysis of the enhanced oral bioavailability of fenofibrate lipid formulations in fasted humans using an in vitro-in silico-in vivo approach.
    Fei Y; Kostewicz ES; Sheu MT; Dressman JB
    Eur J Pharm Biopharm; 2013 Nov; 85(3 Pt B):1274-84. PubMed ID: 23500116
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting the oral pharmacokinetic profiles of multiple-unit (pellet) dosage forms using a modeling and simulation approach coupled with biorelevant dissolution testing: case example diclofenac sodium.
    Kambayashi A; Blume H; Dressman JB
    Eur J Pharm Biopharm; 2014 Jul; 87(2):236-43. PubMed ID: 24462791
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of oral absorption of cinnarizine--a highly supersaturating poorly soluble weak base with borderline permeability.
    Berlin M; Przyklenk KH; Richtberg A; Baumann W; Dressman JB
    Eur J Pharm Biopharm; 2014 Nov; 88(3):795-806. PubMed ID: 25195981
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting the precipitation of poorly soluble weak bases upon entry in the small intestine.
    Kostewicz ES; Wunderlich M; Brauns U; Becker R; Bock T; Dressman JB
    J Pharm Pharmacol; 2004 Jan; 56(1):43-51. PubMed ID: 14980000
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Forecasting gastrointestinal precipitation and oral pharmacokinetics of dantrolene in dogs using an in vitro precipitation testing coupled with in silico modeling and simulation.
    Kambayashi A; Dressman JB
    Eur J Pharm Biopharm; 2017 Oct; 119():107-113. PubMed ID: 28619610
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Utilization of Gastrointestinal Simulator, an in Vivo Predictive Dissolution Methodology, Coupled with Computational Approach To Forecast Oral Absorption of Dipyridamole.
    Matsui K; Tsume Y; Takeuchi S; Searls A; Amidon GL
    Mol Pharm; 2017 Apr; 14(4):1181-1189. PubMed ID: 28231003
    [TBL] [Abstract][Full Text] [Related]  

  • 19. In silico predictions of gastrointestinal drug absorption in pharmaceutical product development: application of the mechanistic absorption model GI-Sim.
    Sjögren E; Westergren J; Grant I; Hanisch G; Lindfors L; Lennernäs H; Abrahamsson B; Tannergren C
    Eur J Pharm Sci; 2013 Jul; 49(4):679-98. PubMed ID: 23727464
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Evaluation of the use of Classical Nucleation Theory for predicting intestinal crystalline precipitation of two weakly basic BSC class II drugs.
    Carlert S; Lennernäs H; Abrahamsson B
    Eur J Pharm Sci; 2014 Mar; 53():17-27. PubMed ID: 24345794
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.