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Jianling Wang - Predictive ADMET - 9781118299920 - V9781118299920
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Predictive ADMET

€ 173.25
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Description for Predictive ADMET Hardback. By guiding in the application of techniques and tools for predicting ADMET outcomes in drug candidates, Predictive ADMET offers a road map for drug discovery scientists to generate effective and safe drugs for unmet medical needs. Num Pages: 616 pages, illustrations. BIC Classification: MMG; PN; TDCW. Category: (P) Professional & Vocational. Dimension: 241 x 156 x 39. Weight in Grams: 996.

This book helps readers integrate in silico, in vitro, and in vivo ADMET (absorption, distribution, metabolism, elimination and toxicity) and PK (pharmacokinetics) data with routine testing applications so that pharmaceutical scientists can diagnose ADMET problems and present appropriate recommendations to move drug discovery programs forward.

The book introduces the current clinical practice for drug discovery and development along with the impact on early risk assessment; consolidates the tools and models to intelligently integrate existing in silico, in vitro and in vivo ADMET data; and demonstrates successful cases and lessons learned from real drug discovery and development. In short, it is a book aimed to provide a practical ... Read more

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Product Details

Format
Hardback
Publication date
2014
Publisher
John Wiley & Sons Inc United States
Number of pages
616
Condition
New
Number of Pages
624
Place of Publication
New York, United States
ISBN
9781118299920
SKU
V9781118299920
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1

About Jianling Wang
Jianling Wang is the Cambridge Head of Discovery ADME at Novartis Institutes for BioMedical Research. He has published over 40 journal papers, reviews, and book chapters and lectured at over 30 scientific conferences and courses. Laszlo Urban is the Executive Director for Preclinical Safety Profiling at Novartis Institutes for BioMedical Research. He has over 10 years of experience in academia ... Read more

Reviews for Predictive ADMET
“In conclusion, this volume fulfills its promise of being a very useful tool for guidance and diagnosis on ADMET matters, and I would recommend it to any scientist in the field.”  (ChemMedChem, 1 June 2015)  

Goodreads reviews for Predictive ADMET


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