Inbunden, Engelska, 2014

Predictive ADMET

Integrated Approaches in Drug Discovery and Development

Av Jianling Wang, Laszlo Urban

1916 kr

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Beskrivning

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 road map for drug discovery and development scientists to generate efficacious and safe drugs for unmet medical needs.

Produktinformation

Utgivningsdatum: 2014-04-21
Mått: 164 x 244 x 39 mm
Vikt: 989 g
Format: Inbunden
Språk: Engelska
Antal sidor: 624
Förlag: John Wiley & Sons Inc
ISBN: 9781118299920

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Mer om författaren

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 and 20 years in the pharmaceutical industry. Among Dr. Urban’s publications are over 120 peer-reviewed scientific papers, 3 books including Hit and Lead Profiling: Identification and Optimization of Drug-like Molecules (Wiley, 2009).

Recensioner i media

“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)

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