Fahmi OA - Search Results

1

Evaluation of CYP2B6 Induction and Prediction of Clinical Drug-Drug Interactions: Considerations from the IQ Consortium Induction Working Group-An Industry Perspective.

Fahmi OA, Shebley M, Palamanda J, Sinz MW, Ramsden D, Einolf HJ, Chen L, Wang H. Fahmi OA, et al. Drug Metab Dispos. 2016 Oct;44(10):1720-30. doi: 10.1124/dmd.116.071076. Epub 2016 Jul 15. Drug Metab Dispos. 2016. PMID: 27422672 Free PMC article.

2

Use of immortalized human hepatocytes to predict the magnitude of clinical drug-drug interactions caused by CYP3A4 induction.

Ripp SL, Mills JB, Fahmi OA, Trevena KA, Liras JL, Maurer TS, de Morais SM. Ripp SL, et al. Among authors: fahmi oa. Drug Metab Dispos. 2006 Oct;34(10):1742-8. doi: 10.1124/dmd.106.010132. Epub 2006 Jul 12. Drug Metab Dispos. 2006. PMID: 16837568

3

A combined model for predicting CYP3A4 clinical net drug-drug interaction based on CYP3A4 inhibition, inactivation, and induction determined in vitro.

Fahmi OA, Maurer TS, Kish M, Cardenas E, Boldt S, Nettleton D. Fahmi OA, et al. Drug Metab Dispos. 2008 Aug;36(8):1698-708. doi: 10.1124/dmd.107.018663. Epub 2008 May 19. Drug Metab Dispos. 2008. PMID: 18490437

4

Prediction of drug-drug interactions from in vitro induction data: application of the relative induction score approach using cryopreserved human hepatocytes.

Fahmi OA, Boldt S, Kish M, Obach RS, Tremaine LM. Fahmi OA, et al. Drug Metab Dispos. 2008 Sep;36(9):1971-4. doi: 10.1124/dmd.108.021907. Epub 2008 Jun 2. Drug Metab Dispos. 2008. PMID: 18519654

5

Comparison of different algorithms for predicting clinical drug-drug interactions, based on the use of CYP3A4 in vitro data: predictions of compounds as precipitants of interaction.

Fahmi OA, Hurst S, Plowchalk D, Cook J, Guo F, Youdim K, Dickins M, Phipps A, Darekar A, Hyland R, Obach RS. Fahmi OA, et al. Drug Metab Dispos. 2009 Aug;37(8):1658-66. doi: 10.1124/dmd.108.026252. Epub 2009 Apr 30. Drug Metab Dispos. 2009. PMID: 19406954

6

Cytochrome P450 3A4 mRNA is a more reliable marker than CYP3A4 activity for detecting pregnane X receptor-activated induction of drug-metabolizing enzymes.

Fahmi OA, Kish M, Boldt S, Obach RS. Fahmi OA, et al. Drug Metab Dispos. 2010 Sep;38(9):1605-11. doi: 10.1124/dmd.110.033126. Epub 2010 Jun 21. Drug Metab Dispos. 2010. PMID: 20566695

7

Evaluation of models for predicting drug-drug interactions due to induction.

Fahmi OA, Ripp SL. Fahmi OA, et al. Expert Opin Drug Metab Toxicol. 2010 Nov;6(11):1399-416. doi: 10.1517/17425255.2010.516251. Expert Opin Drug Metab Toxicol. 2010. PMID: 20955108 Review.

8

How current understanding of clearance mechanisms and pharmacodynamics of therapeutic proteins can be applied for evaluation of their drug-drug interaction potential.

Kraynov E, Martin SW, Hurst S, Fahmi OA, Dowty M, Cronenberger C, Loi CM, Kuang B, Fields O, Fountain S, Awwad M, Wang D. Kraynov E, et al. Among authors: fahmi oa. Drug Metab Dispos. 2011 Oct;39(10):1779-83. doi: 10.1124/dmd.111.040808. Epub 2011 Jul 18. Drug Metab Dispos. 2011. PMID: 21768274 Review.

9

Utility of DPX2 cells for predicting CYP3A induction-mediated drug-drug interactions and associated structure-activity relationships.

Fahmi OA, Raucy JL, Ponce E, Hassanali S, Lasker JM. Fahmi OA, et al. Drug Metab Dispos. 2012 Nov;40(11):2204-11. doi: 10.1124/dmd.112.047456. Epub 2012 Aug 21. Drug Metab Dispos. 2012. PMID: 22912432

10

Quantitative prediction of repaglinide-rifampicin complex drug interactions using dynamic and static mechanistic models: delineating differential CYP3A4 induction and OATP1B1 inhibition potential of rifampicin.

Varma MV, Lin J, Bi YA, Rotter CJ, Fahmi OA, Lam JL, El-Kattan AF, Goosen TC, Lai Y. Varma MV, et al. Among authors: fahmi oa. Drug Metab Dispos. 2013 May;41(5):966-74. doi: 10.1124/dmd.112.050583. Epub 2013 Feb 7. Drug Metab Dispos. 2013. PMID: 23393219

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