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Predictive ADMET : Integrated Approaches in Drug Discovery and Development - Jianling Wang

Predictive ADMET

Integrated Approaches in Drug Discovery and Development

By: Jianling Wang, Laszlo Urban

eText | 28 February 2014 | Edition Number 1

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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.

Industry Reviews

"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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