Advances in Computational Toxicology

Methodologies and Applications in Regulatory Science de

Éditeur :

Springer


Collection :

Challenges and Advances in Computational Chemistry and Physics

Paru le : 2019-05-21

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Description
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.
Pages
412 pages
Collection
Challenges and Advances in Computational Chemistry and Physics
Parution
2019-05-21
Marque
Springer
EAN papier
9783030164423
EAN PDF
9783030164430

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
41
Taille du fichier
12524 Ko
Prix
168,79 €
EAN EPUB
9783030164430

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
41
Taille du fichier
35144 Ko
Prix
168,79 €