Fahmi O - Search Results

1

Application of CYP3A4 in vitro data to predict clinical drug-drug interactions; predictions of compounds as objects of interaction.

Youdim KA, Zayed A, Dickins M, Phipps A, Griffiths M, Darekar A, Hyland R, Fahmi O, Hurst S, Plowchalk DR, Cook J, Guo F, Obach RS. Youdim KA, et al. Among authors: fahmi o. Br J Clin Pharmacol. 2008 May;65(5):680-92. doi: 10.1111/j.1365-2125.2007.03070.x. Epub 2008 Feb 14. Br J Clin Pharmacol. 2008. PMID: 18279465 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. 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

The time to move cytochrome p450 induction into mainstream pharmacology is long overdue.

Smith DA, Dickins M, Fahmi OA, Iwasaki K, Lee C, Obach RS, Padbury G, De Morais SM, Ripp SL, Stevens J, Voorman R, Youdim K. Smith DA, et al. Drug Metab Dispos. 2007 Apr;35(4):697-8. doi: 10.1124/dmd.106.013284. Drug Metab Dispos. 2007. PMID: 17384203 No abstract available.

4

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

5

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

6

Development of an in vitro drug-drug interaction assay to simultaneously monitor five cytochrome P450 isoforms and performance assessment using drug library compounds.

Zientek M, Miller H, Smith D, Dunklee MB, Heinle L, Thurston A, Lee C, Hyland R, Fahmi O, Burdette D. Zientek M, et al. Among authors: fahmi o. J Pharmacol Toxicol Methods. 2008 Nov-Dec;58(3):206-14. doi: 10.1016/j.vascn.2008.05.131. Epub 2008 Jun 25. J Pharmacol Toxicol Methods. 2008. PMID: 18634893

7

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

8

Unexpected effect of rifampin on the pharmacokinetics of linezolid: in silico and in vitro approaches to explain its mechanism.

Gandelman K, Zhu T, Fahmi OA, Glue P, Lian K, Obach RS, Damle B. Gandelman K, et al. J Clin Pharmacol. 2011 Feb;51(2):229-36. doi: 10.1177/0091270010366445. Epub 2010 Apr 6. J Clin Pharmacol. 2011. PMID: 20371736 Clinical Trial.

9

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

10

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.

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