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Advances in Computational Toxicology: Methodologies and Applications in Regulatory Science (Challenges and Advances in Computational Chemistry and Physics, 30, Band 30) - Hardcover

Buch 24 von 25: Challenges and Advances in Computational Chemistry and Physics
 
9783030164423: Advances in Computational Toxicology: Methodologies and Applications in Regulatory Science (Challenges and Advances in Computational Chemistry and Physics, 30, Band 30)
Hardcover
ISBN 10: 303016442X ISBN 13: 9783030164423
Verlag: Springer, 2019

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

Dr. Huixiao Hong is the Chief of Bioinformatics Branch at the Division of Bioinformatics and Biostatistics, National Center for Toxicological Research (NCTR), FDA, Arkansas, USA and an Adjunct Professor at the University of Arkansas at Little Rock. He received his Ph.D. in computational chemistry from Nanjing University. Before he joined NCTR in 2007, Dr. Hong worked as the Manager of Bioinformatics Division at ICF International, as a senior computational scientist in ROW Science and held a research scientist position at Sumitomo Chemical Company, Japan. He was also a visiting scientist at National Cancer Institute at National Institutes of Health (NIH), USA and at Maxwell Institute in Leeds University, UK. Dr. Hong was an Associated Professor at Nanjing University in China. His research interests span the areas of chemoinformatics, computational chemistry, next-generation sequencing data analysis, genome-wide association studies, proteomics, and systems biology. Dr. Huixiao Hong has published more than 180 scientific manuscripts and received many awards during his career.

Von der hinteren Coverseite

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.

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Verlag
Springer
Erscheinungsdatum
2019
Sprache
Englisch
ISBN 10 
303016442X
ISBN 13 
9783030164423
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
429
Herausgeber
Hong Huixiao
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