Skip to main content

Computational Toxicology

Volume I

  • Book
  • © 2013

Overview

  • Includes cutting-edge methods and protocols
  • Provides step-by-step detail essential for reproducible results
  • Contains key notes and implementation advice from the experts
  • Includes supplementary material: sn.pub/extras

Part of the book series: Methods in Molecular Biology (MIMB, volume 929)

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (21 protocols)

  1. Introduction

  2. Mathematical and Computational Modeling

  3. Cheminformatics and Chemical Property Prediction

  4. Pharmacokinetic and Pharmacodynamic Modeling

Keywords

About this book

Rapid advances in computer science, biology, chemistry, and other disciplines are enabling powerful new computational tools and models for toxicology and pharmacology. These computational tools hold tremendous promise for advancing science, from streamlining drug efficacy and safety testing, to increasing the efficiency and effectiveness of risk assessment for environmental chemicals. Computational Toxicology provides biomedical and quantitative scientists with essential background, context, examples, useful tips, and an overview of current developments in the field. Divided into four sections, Volume I covers a wide array of methodologies and topics. Opening with an introduction to the field of computational toxicology and its current and potential applications, the volume continues with ’best practices’ in mathematical and computational modeling, followed by chemoinformatics and the use of computational techniques and databases to predict chemical properties and toxicity, as well as an overview of molecular dynamics.  The final section is a compilation of the key elements and main approaches used in pharmacokinetic and pharmacodynamic modeling, including the modeling of absorption, compartment and non-compartmental modeling, physiologically based pharmacokinetic modeling, interspecies extrapolation, and population effects. Written in the successful Methods in Molecular Biology™ series format where possible, chapters include introductions to their respective topics, lists of the materials and software tools used, methods, and notes on troubleshooting.

Authoritative and easily accessible, Computational Toxicology will allow motivated readers to participate in this exciting field and undertake a diversity of realistic problems of interest.

Editors and Affiliations

  • School of Biomedical Engineering, Chemical & Biological Engineering, Colorado State University, Fort Collins, USA

    Brad Reisfeld

  • , Chemical & Biological Engineering, Colorado State University, Fort Collins, USA

    Arthur N. Mayeno

Bibliographic Information

  • Book Title: Computational Toxicology

  • Book Subtitle: Volume I

  • Editors: Brad Reisfeld, Arthur N. Mayeno

  • Series Title: Methods in Molecular Biology

  • DOI: https://doi.org/10.1007/978-1-62703-050-2

  • Publisher: Humana Totowa, NJ

  • eBook Packages: Springer Protocols

  • Copyright Information: Springer Science+Business Media, LLC 2013

  • Hardcover ISBN: 978-1-62703-049-6Published: 26 September 2012

  • Softcover ISBN: 978-1-4939-5897-9Published: 23 August 2016

  • eBook ISBN: 978-1-62703-050-2Published: 25 September 2012

  • Series ISSN: 1064-3745

  • Series E-ISSN: 1940-6029

  • Edition Number: 1

  • Number of Pages: XII, 612

  • Topics: Pharmacology/Toxicology, Computer Appl. in Life Sciences

Publish with us