- Includes cutting-edge methods and protocols involving in silico techniques
- Provides step-by-step detail essential for reproducible results
- Contains key notes and implementation advice from the experts
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- About this book
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This detailed volume explores in silico methods for pharmaceutical toxicity by combining the theoretical advanced research with the practical application of the tools. Beginning with a section covering sophisticated models addressing the binding to receptors, pharmacokinetics and adsorption, metabolism, distribution, and excretion, the book continues with chapters delving into models for specific toxicological and ecotoxicological endpoints, as well as broad views of the main initiatives and new perspectives which will very likely improve our way of modelling pharmaceuticals. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that is key for achieving successful research results.
Authoritative and practical, In Silico Methods for Predicting Drug Toxicity offers the advantage of incorporating data and knowledge from different fields, such as chemistry, biology, -omics, and pharmacology, to achieve goals in this vital area of research.
- Table of contents (21 chapters)
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QSAR Methods
Pages 1-20
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In Silico 3D Modeling of Binding Activities
Pages 23-35
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Modeling Pharmacokinetics
Pages 37-62
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Modeling ADMET
Pages 63-83
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In Silico Prediction of Chemically Induced Mutagenicity: How to Use QSAR Models and Interpret Their Results
Pages 87-105
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Table of contents (21 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- In Silico Methods for Predicting Drug Toxicity
- Editors
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- Emilio Benfenati
- Series Title
- Methods in Molecular Biology
- Series Volume
- 1425
- Copyright
- 2016
- Publisher
- Humana Press
- Copyright Holder
- Springer Science+Business Media New York
- eBook ISBN
- 978-1-4939-3609-0
- DOI
- 10.1007/978-1-4939-3609-0
- Hardcover ISBN
- 978-1-4939-3607-6
- Softcover ISBN
- 978-1-4939-8093-2
- Series ISSN
- 1064-3745
- Edition Number
- 1
- Number of Pages
- XI, 534
- Number of Illustrations
- 37 b/w illustrations, 156 illustrations in colour
- Topics