Literature DB >> 16918474

Predicting drug metabolism induction in silico.

Daniela Schuster1, Theodora M Steindl, Thierry Langer.   

Abstract

The inducibility of drug-metabolizing enzymes and transporters by numerous xenobiotics has become a vital issue to be considered in the drug development process. Activation of so-called orphan nuclear receptors has been identified to result in increased expression of these detoxifying systems and consequently altered drug levels in the human body. In order to anticipate such mechanisms already in early stages of drug design and to avoid dangerous drug-drug interactions, reliable in silico simulation tools are highly desirable. This review aims to give an introduction into induction of drug metabolism and transport and focuses on computer-assisted molecular modeling prediction techniques, on their applicability and limitations, on recent case studies, and on success stories.

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Year:  2006        PMID: 16918474     DOI: 10.2174/156802606778108924

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  3 in total

1.  Metabolite Structure Assignment Using In Silico NMR Techniques.

Authors:  Susanta Das; Arthur S Edison; Kenneth M Merz
Journal:  Anal Chem       Date:  2020-07-15       Impact factor: 6.986

2.  RS-predictor: a new tool for predicting sites of cytochrome P450-mediated metabolism applied to CYP 3A4.

Authors:  Jed Zaretzki; Charles Bergeron; Patrik Rydberg; Tao-wei Huang; Kristin P Bennett; Curt M Breneman
Journal:  J Chem Inf Model       Date:  2011-06-15       Impact factor: 4.956

Review 3.  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

  3 in total

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