Literature DB >> 12605548

Predicting inductive drug-drug interactions.

Christopher Liddle1, Graham R Robertson.   

Abstract

Until recently, inductive drug-drug interactions have proved difficult to predict prior to formal pharmacokinetic studies in man. Even then, important interactions have often gone unrecognized until clinical sequelae have occurred in the postmarketing phase. Recent advances in the molecular and cellular biology of nuclear receptors have revealed that there are 'sensors' for xenobiotics, which in turn transactivate genes involved in drug metabolism and excretion. Knowledge of these mechanisms has allowed the development of assay systems that detect the potential of drugs to cause gene induction, well before human studies are contemplated.

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Year:  2003        PMID: 12605548     DOI: 10.1517/phgs.4.2.141.22639

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  2 in total

Review 1.  Predicting the clinical relevance of drug interactions from pre-approval studies.

Authors:  Silvio Caccia; Silvio Garattini; Luca Pasina; Alessandro Nobili
Journal:  Drug Saf       Date:  2009       Impact factor: 5.606

2.  Identification of pregnane X receptor ligands using time-resolved fluorescence resonance energy transfer and quantitative high-throughput screening.

Authors:  Sunita J Shukla; Dac-Trung Nguyen; Ryan Macarthur; Anton Simeonov; William J Frazee; Tina M Hallis; Bryan D Marks; Upinder Singh; Hildegard C Eliason; John Printen; Christopher P Austin; James Inglese; Douglas S Auld
Journal:  Assay Drug Dev Technol       Date:  2009-04       Impact factor: 1.738

  2 in total

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