Literature DB >> 24981625

'In silico' simulations to assess the 'in vivo' consequences of 'in vitro' metabolic drug-drug interactions.

Amin Rostami-Hodjegan1, Geoff Tucker2.   

Abstract

Recently, metabolic drug-drug interactions (M-DDI) have raised some high-profile problems in drug development resulting in restricted use, withdrawal or non-approval by regulatory agencies. The use of in vitro technologies to evaluate the potential for M-DDI has become routine in the drug development process. Nevertheless, in the absence of an integrated approach, their interpretation and value remains the subject of debate, and the vital distinction between a useful "simulation" and a precise "prediction" is not often appreciated. Various in silico softwares are now available for the simulation of M-DDI. However, a concerted effort by the industry is necessary to evaluate their use. The FDA has recently emphasised the importance of such collaboration to improve the crucial path to development of new drugs. In silico simulation of M-DDI has the potential to add significant value to this process.:
© 2004 Elsevier Ltd . All rights reserved.

Entities:  

Year:  2004        PMID: 24981625     DOI: 10.1016/j.ddtec.2004.10.002

Source DB:  PubMed          Journal:  Drug Discov Today Technol        ISSN: 1740-6749


  47 in total

1.  A quantitative framework and strategies for management and evaluation of metabolic drug-drug interactions in oncology drug development: new molecular entities as object drugs.

Authors:  Karthik Venkatakrishnan; Michael D Pickard; Lisa L von Moltke
Journal:  Clin Pharmacokinet       Date:  2010-11       Impact factor: 6.447

2.  Assessment of algorithms for predicting drug-drug interactions via inhibition mechanisms: comparison of dynamic and static models.

Authors:  Eleanor J Guest; Karen Rowland-Yeo; Amin Rostami-Hodjegan; Geoffrey T Tucker; J Brian Houston; Aleksandra Galetin
Journal:  Br J Clin Pharmacol       Date:  2011-01       Impact factor: 4.335

3.  To Apply Microdosing or Not? Recommendations to Single Out Compounds with Non-Linear Pharmacokinetics.

Authors:  Sieto Bosgra; Maria L H Vlaming; Wouter H J Vaes
Journal:  Clin Pharmacokinet       Date:  2016-01       Impact factor: 6.447

4.  Lack of indinavir effects on methadone disposition despite inhibition of hepatic and intestinal cytochrome P4503A (CYP3A).

Authors:  Evan D Kharasch; Pamela Sheffels Bedynek; Christine Hoffer; Alysa Walker; Dale Whittington
Journal:  Anesthesiology       Date:  2012-02       Impact factor: 7.892

5.  A semi-mechanistic model to predict the effects of liver cirrhosis on drug clearance.

Authors:  Trevor N Johnson; Koen Boussery; Karen Rowland-Yeo; Geoffrey T Tucker; Amin Rostami-Hodjegan
Journal:  Clin Pharmacokinet       Date:  2010-03       Impact factor: 6.447

Review 6.  In vitro evaluation of reversible and irreversible cytochrome P450 inhibition: current status on methodologies and their utility for predicting drug-drug interactions.

Authors:  Stephen Fowler; Hongjian Zhang
Journal:  AAPS J       Date:  2008-08-07       Impact factor: 4.009

7.  Potent mechanism-based inhibition of CYP3A4 by imatinib explains its liability to interact with CYP3A4 substrates.

Authors:  A M Filppula; J Laitila; P J Neuvonen; J T Backman
Journal:  Br J Pharmacol       Date:  2012-04       Impact factor: 8.739

8.  Predictions of metabolic drug-drug interactions using physiologically based modelling: Two cytochrome P450 3A4 substrates coadministered with ketoconazole or verapamil.

Authors:  Nathalie Perdaems; Helene Blasco; Cedric Vinson; Marylore Chenel; Sarah Whalley; Fanny Cazade; François Bouzom
Journal:  Clin Pharmacokinet       Date:  2010-04       Impact factor: 6.447

Review 9.  Pharmacokinetics, pharmacodynamics and physiologically-based pharmacokinetic modelling of monoclonal antibodies.

Authors:  Miroslav Dostalek; Iain Gardner; Brian M Gurbaxani; Rachel H Rose; Manoranjenni Chetty
Journal:  Clin Pharmacokinet       Date:  2013-02       Impact factor: 6.447

Review 10.  Qualitative analysis of the role of metabolites in inhibitory drug-drug interactions: literature evaluation based on the metabolism and transport drug interaction database.

Authors:  Nina Isoherranen; Houda Hachad; Catherine K Yeung; Rene H Levy
Journal:  Chem Res Toxicol       Date:  2009-02       Impact factor: 3.739

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