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Validation of Alternative Methods for Toxicity Testing

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Cover of 'Validation of Alternative Methods for Toxicity Testing'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction.
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    Chapter 2 Validation in Support of Internationally Harmonised OECD Test Guidelines for Assessing the Safety of Chemicals.
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    Chapter 3 Regulatory Acceptance of Alternative Methods in the Development and Approval of Pharmaceuticals.
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    Chapter 4 Validation of Alternative In Vitro Methods to Animal Testing: Concepts, Challenges, Processes and Tools.
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    Chapter 5 Practical Aspects of Designing and Conducting Validation Studies Involving Multi-study Trials.
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    Chapter 6 Validation of Computational Methods.
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    Chapter 7 Implementation of New Test Methods into Practical Testing.
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    Chapter 8 Pathway Based Toxicology and Fit-for-Purpose Assays.
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    Chapter 9 Evidence-Based Toxicology.
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    Chapter 10 Validation of Transcriptomics-Based In Vitro Methods.
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    Chapter 11 Ensuring the Quality of Stem Cell-Derived In Vitro Models for Toxicity Testing.
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    Chapter 12 Validation of Bioreactor and Human-on-a-Chip Devices for Chemical Safety Assessment.
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    Chapter 13 Integrated Approaches to Testing and Assessment.
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    Chapter 14 International Harmonization and Cooperation in the Validation of Alternative Methods.
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    Chapter 15 Evolving the Principles and Practice of Validation for New Alternative Approaches to Toxicity Testing.
Attention for Chapter 6: Validation of Computational Methods.
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Citations

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Chapter title
Validation of Computational Methods.
Chapter number 6
Book title
Validation of Alternative Methods for Toxicity Testing
Published in
Advances in experimental medicine and biology, September 2016
DOI 10.1007/978-3-319-33826-2_6
Pubmed ID
Book ISBNs
978-3-31-933824-8, 978-3-31-933826-2
Authors

Grace Patlewicz, Andrew P. Worth, Nicholas Ball

Editors

Chantra Eskes, Maurice Whelan

Abstract

In this chapter, we provide an overview of how (Quantitative) Structure Activity Relationships, (Q)SARs, are validated and applied for regulatory purposes. We outline how chemical categories are derived to facilitate endpoint specific read-across using tools such as the OECD QSAR Toolbox and discuss some of the current difficulties in addressing the residual uncertainties of read-across. Finally we put forward a perspective of how non-testing approaches may evolve in light of the advances in new and emerging technologies and how these fit within the Adverse Outcome Pathway (AOP) framework.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Bulgaria 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 19%
Other 4 19%
Researcher 3 14%
Professor 1 5%
Unknown 9 43%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 19%
Computer Science 2 10%
Environmental Science 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Agricultural and Biological Sciences 1 5%
Other 3 14%
Unknown 9 43%