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Methods in Molecular Biology

In Silico Methods for Predicting Drug Toxicity

Editors: Benfenati, Emilio (Ed.)

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  • 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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eBook 106,99 €
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  • ISBN 978-1-4939-3609-0
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Hardcover 187,19 €
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Softcover 135,19 €
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About this book

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)

Table of contents (21 chapters)

Buy this book

eBook 106,99 €
price for Spain (gross)
  • ISBN 978-1-4939-3609-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 187,19 €
price for Spain (gross)
Softcover 135,19 €
price for Spain (gross)
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Bibliographic Information

Bibliographic Information
Book Title
In Silico Methods for Predicting Drug Toxicity
Editors
  • 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

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