Advances in Computational Toxicology Methodologies and Applications in Regulatory Science Huixiao Hong 3030164438 9783030164430

This completed downloadable of Advances in Computational Toxicology Methodologies and Applications in Regulatory Science Huixiao Hong

Instant downloaded Advances in Computational Toxicology Methodologies and Applications in Regulatory Science Huixiao Hong pdf docx epub after payment.

Product details:

• ISBN 10:  3030164438
• ISBN 13: 9783030164430
• Author: Science Huixiao

This book provides a comprehensive review of both traditional and cutting-edge methodologies that are currently used in computational toxicology and specifically features its application in regulatory decision making. The authors from various government agencies such as FDA, NCATS and NIEHS industry, and academic institutes share their real-world experience and discuss most current practices in computational toxicology and potential applications in regulatory science. Among the topics covered are molecular modeling and molecular dynamics simulations, machine learning methods for toxicity analysis, network-based approaches for the assessment of drug toxicity and toxicogenomic analyses. Offering a valuable reference guide to computational toxicology and potential applications in regulatory science, this book will appeal to chemists, toxicologists, drug discovery and development researchers as well as to regulatory scientists, government reviewers and graduate students interested in thisfield.

Table of contents:

1. Computational Toxicology Promotes Regulatory Science

Part I. Methods in Computational Toxicology

2. Background, Tasks, Modeling Methods, and Challenges for Computational Toxicology

3. Modelling Simple Toxicity Endpoints: Alerts, (Q)SARs and Beyond

4. Matrix and Tensor Factorization Methods for Toxicogenomic Modeling and Prediction

5. Cardio-oncology: Network-Based Prediction of Cancer Therapy-Induced Cardiotoxicity

6. Mode-of-Action-Guided, Molecular Modeling-Based Toxicity Prediction: A Novel Approach for In Silico Predictive Toxicology

7. A Review of Feature Reduction Methods for QSAR-Based Toxicity Prediction

8. An Overview of National Toxicology Program’s Toxicogenomic Applications: DrugMatrix and ToxFX

9. A Pair Ranking (PRank) Method for Assessing Assay Transferability Among the Toxicogenomics Testing Systems

10. Applications of Molecular Dynamics Simulations in Computational Toxicology

Part II. Applications in Regulatory Science

11. Applicability Domain: Towards a More Formal Framework to Express the Applicability of a Model and the Confidence in Individual Predictions

12. Application of Computational Methods for the Safety Assessment of Food Ingredients

13. Predicting the Risks of Drug-Induced Liver Injury in Humans Utilizing Computational Modeling

14. Predictive Modeling of Tox21 Data

15. In Silico Prediction of the Point of Departure (POD) with High-Throughput Data

16. Molecular Modeling Method Applications: Probing the Mechanism of Endocrine Disruptor Action

17. Xenobiotic Metabolism by Cytochrome P450 Enzymes: Insights Gained from Molecular Simulations

18. Integrating QSAR, Read-Across, and Screening Tools: The VEGAHUB Platform as an Example

19. OpenTox Principles and Best Practices for Trusted Reproducible In Silico Methods Supporting Research an

People also search:

computational toxicology journal

advanced comprehensive toxicology

computational toxicologist

computational toxicology software

computational toxicology jobs