A Mechanistic Modeling Framework for Predicting Metabolic Interactions in Complex Mixtures-Reference-Cited by-同舟云学术

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A Mechanistic Modeling Framework for Predicting Metabolic Interactions in Complex Mixtures

Published:2011-12 Issue:12 Volume:119 Page:1712-1718
ISSN:0091-6765
Container-title:Environmental Health Perspectives
language:en
Short-container-title:Environmental Health Perspectives

Author:

Cheng Shu¹,Bois Frederic Y.¹²

Affiliation:

1. Bioengineering Department, Royallieu Research Center, Université de Technology de Compiègne, Compiègne Cedex, France

2. DRC/VIVA/METO Unit, Institut National de l’Environnement Industriel et des Risques (INERIS), Parc Technologique Alata, Verneuil en Halatte, France

Publisher

Environmental Health Perspectives

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference43 articles.

1. Regional Hepatic CYP1A1 and CYP1A2 Induction with 2,3,7,8-Tetrachlorodibenzo-p-dioxin Evaluated with a Multicompartment Geometric Model of Hepatic Zonation

2. Deviations from Michaelis-Menten kinetics. The possibility of complicated curves for simple kinetic schemes and the computer fitting of experimental data for acetylcholinesterase, acid phosphatase, adenosine deaminase, arylsulphatase, benzylamine oxidase, chymotrypsin, fumarase, galactose dehydrogenase, β-galactosidase, lactate dehydrogenase, peroxidase and xanthine oxidase

3. Statistical Issues in Toxicokinetic Modeling: A Bayesian Perspective

4. GNU MCSim: Bayesian statistical inference for SBML-coded systems biology models

5. Modélisation physiologique des interactions métaboliques;Bois FY;Env Risque Santé,2009

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