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Computational Toxicology

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Cover of 'Computational Toxicology'

Table of Contents

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    Book Overview
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    Chapter 1 What is Computational Toxicology?
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    Chapter 2 Computational toxicology: application in environmental chemicals.
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    Chapter 3 Role of computational methods in pharmaceutical sciences.
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    Chapter 4 Best practices in mathematical modeling.
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    Chapter 5 Tools and techniques.
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    Chapter 6 Prediction of physicochemical properties.
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    Chapter 7 Informing mechanistic toxicology with computational molecular models.
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    Chapter 8 Chemical structure representations and applications in computational toxicity.
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    Chapter 9 Accessing and using chemical property databases.
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    Chapter 10 Accessing, using, and creating chemical property databases for computational toxicology modeling.
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    Chapter 11 Molecular dynamics.
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    Chapter 12 Introduction to pharmacokinetics in clinical toxicology.
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    Chapter 13 Modeling of Absorption
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    Chapter 14 Prediction of pharmacokinetic parameters.
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    Chapter 15 Computational Toxicology
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    Chapter 16 Non-compartmental Analysis.
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    Chapter 17 Compartmental modeling in the analysis of biological systems.
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    Chapter 18 Physiologically based pharmacokinetic/toxicokinetic modeling.
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    Chapter 19 Interspecies extrapolation.
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    Chapter 20 Population effects and variability.
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    Chapter 21 Mechanism-Based Pharmacodynamic Modeling
Attention for Chapter 19: Interspecies extrapolation.
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Citations

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Chapter title
Interspecies extrapolation.
Chapter number 19
Book title
Computational Toxicology
Published in
Methods in molecular biology, August 2012
DOI 10.1007/978-1-62703-050-2_19
Pubmed ID
Book ISBNs
978-1-62703-049-6, 978-1-62703-050-2
Authors

Elaina M. Kenyon

Editors

Brad Reisfeld, Arthur N. Mayeno

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Student > Master 2 20%
Student > Postgraduate 1 10%
Researcher 1 10%
Unknown 3 30%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 4 40%
Biochemistry, Genetics and Molecular Biology 1 10%
Chemistry 1 10%
Medicine and Dentistry 1 10%
Unknown 3 30%