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Advances in Computational Toxicology

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Cover of 'Advances in Computational Toxicology'

Table of Contents

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    Book Overview
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    Chapter 1 Computational Toxicology Promotes Regulatory Science
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    Chapter 2 Background, Tasks, Modeling Methods, and Challenges for Computational Toxicology
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    Chapter 3 Modelling Simple Toxicity Endpoints: Alerts, (Q)SARs and Beyond
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    Chapter 4 Matrix and Tensor Factorization Methods for Toxicogenomic Modeling and Prediction
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    Chapter 5 Cardio-oncology: Network-Based Prediction of Cancer Therapy-Induced Cardiotoxicity
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    Chapter 6 Mode-of-Action-Guided, Molecular Modeling-Based Toxicity Prediction: A Novel Approach for In Silico Predictive Toxicology
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    Chapter 7 A Review of Feature Reduction Methods for QSAR-Based Toxicity Prediction
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    Chapter 8 An Overview of National Toxicology Program’s Toxicogenomic Applications: DrugMatrix and ToxFX
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    Chapter 9 A Pair Ranking (PRank) Method for Assessing Assay Transferability Among the Toxicogenomics Testing Systems
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    Chapter 10 Applications of Molecular Dynamics Simulations in Computational Toxicology
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    Chapter 11 Applicability Domain: Towards a More Formal Framework to Express the Applicability of a Model and the Confidence in Individual Predictions
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    Chapter 12 Application of Computational Methods for the Safety Assessment of Food Ingredients
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    Chapter 13 Predicting the Risks of Drug-Induced Liver Injury in Humans Utilizing Computational Modeling
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    Chapter 14 Predictive Modeling of Tox21 Data
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    Chapter 15 In Silico Prediction of the Point of Departure (POD) with High-Throughput Data
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    Chapter 16 Molecular Modeling Method Applications: Probing the Mechanism of Endocrine Disruptor Action
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    Chapter 17 Xenobiotic Metabolism by Cytochrome P450 Enzymes: Insights Gained from Molecular Simulations
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    Chapter 18 Integrating QSAR, Read-Across, and Screening Tools: The VEGAHUB Platform as an Example
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    Chapter 19 OpenTox Principles and Best Practices for Trusted Reproducible In Silico Methods Supporting Research and Regulatory Applications in Toxicological Science
Attention for Chapter 8: An Overview of National Toxicology Program’s Toxicogenomic Applications: DrugMatrix and ToxFX
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Citations

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Chapter title
An Overview of National Toxicology Program’s Toxicogenomic Applications: DrugMatrix and ToxFX
Chapter number 8
Book title
Advances in Computational Toxicology
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-16443-0_8
Book ISBNs
978-3-03-016442-3, 978-3-03-016443-0
Authors

Daniel L. Svoboda, Trey Saddler, Scott S. Auerbach

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 24%
Other 2 12%
Student > Bachelor 1 6%
Student > Doctoral Student 1 6%
Student > Ph. D. Student 1 6%
Other 1 6%
Unknown 7 41%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 18%
Agricultural and Biological Sciences 2 12%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Medicine and Dentistry 1 6%
Chemistry 1 6%
Other 0 0%
Unknown 9 53%