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OLS Field Name OLS Field Data
Main Title Advances in computational toxicology : methodologies and applications in regulatory science /
Other Authors
Author Title of a Work
Hong, Huixiao,
Publisher Springer,
Year Published 2019
OCLC Number 1108749782
ISBN 9783030164423; 303016442X
Subjects Toxicology--Data processing. ; Toxicity testing. ; Toxicology--methods. ; Toxicity Tests. ; Toxicogenetics. ; Computational Biology--methods. ; Computer Simulation.
Internet Access
Description Access URL
1850-9999 http://link.springer.com/
Library Call Number Additional Info Location Last
EKBM  RA1193.4.A38 2019 Research Triangle Park Library/RTP, NC 11/03/2021
Collation xvii, 412 pages : illustrations (black and white, and colour) ; 25 cm.
Notes Includes bibliographical references and index.
Contents Notes Computational Toxicology Promotes Regulatory Science -- Tasks, Major Challenges and Emerging Modelling Methods for Computational Toxicology -- Xenobiotic Metabolism by Cytochrome P450s: Insights Gained from Molecular Simulations -- Applications of Molecular Modeling to Probe the Mechanism of Endocrine Disruptor Action -- Mixture Toxicity -- Towards reproducible in silico practice via OpenTox -- Combining Machine Learning and Multilayer Networks for Toxicity Prediction -- Matrix and tensor factorization for toxicity modelling -- Network-based In Silico Assessment of Drug Cardiotoxicity -- Mode-of-action-guided chemical toxicity prediction: A novel in silico approach for predictive toxicology -- Machine learning methods for toxicity analysis -- Predictive modeling of Tox21 data -- The NTP DrugMatrix Toxicogenomics Database and Analysis Tool -- Applications of Computational Toxicology for Risk Assessment of Food Ingredients and Indirect Food Additives -- In silico prediction of the point of departure (POD) with high throughput data -- The application of topic modeling on drug safety signal detection and analysis -- Molecular dynamics simulations and applications in computational toxicology -- Computational modeling for prediction of drug-induced liver injury in humans -- Genomics in vitro to in vivo extrapolation (GIVIVE) for drug safety evaluation. 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 this field.
Place Published Cham, Switzerland
Title Ser Add Ent Challenges and advances in computational chemistry and physics ; 30.
PUB Date Free Form 2019
Series Title Untraced Challenges and advances in computational chemistry and physics, volume 30
BIB Level m
Medium unmediated
Content text
Carrier volume
Cataloging Source RDA
LCCN 2019935555
Merged OCLC records 1088912843; 1276799286
OCLC Time Stamp 20211029213021
Language eng
Origin OCLC
Type CAT
OCLC Rec Leader 04437cam 2200565 i 45010