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In Vitro techniques for studying drug metabolism

Name: In Vitro techniques for studying drug metabolism
Creator: F P Guengerich
Keywords: 0301 basic medicine, 0303 health sciences, Polymorphism, Genetic, Gene Expression, In Vitro Techniques, Antibodies, Enzymes, 3. Good health, 03 medical and health sciences, Cytochrome P-450 Enzyme System

descriptionPublicationkeyboard_double_arrow_right Article 01 Oct 1996Publisher:Springer Science and Business Media LLCJournal:Journal of Pharmacokinetics and Biopharmaceutics, volume 24, pages 521-533 (issn: 0090-466X,

Authors: F P Guengerich;

doi: 10.1007/bf02353478

pmid: 9131489

In Vitro techniques for studying drug metabolism

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Abstract

A considerable amount of information has been obtained about human enzymes involved in drug metabolism. Cytochrome P450 is presented as a paradigm in order to illustrate the experimental techniques now available. In vitro assays can be done with tissue slices, microsomes, or even short-term cell cultures. In addition, recombinant enzymes can be produced in a variety of different vector systems. Information about catalytic selectivity regarding new drugs can be obtained, as well as important information about potential drug-drug interactions and bioavailability. Such studies play a role in the drug development process as well as metabolism and safety assessment.

Related Organizations

Vanderbilt University
United States

Keywords

Polymorphism, Genetic, Gene Expression, In Vitro Techniques, Antibodies, Enzymes, Cytochrome P-450 Enzyme System, Pharmaceutical Preparations, Drug Design, Enzyme Induction, Microsomes, Liver, Animals, Cytochrome P-450 Enzyme Inhibitors, Humans, Enzyme Inhibitors, Cells, Cultured

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	88
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%