Predictive ADMET

Integrated Approaches in Drug Discovery and Development

Nonfiction, Science & Nature, Science, Chemistry, Analytic, Health & Well Being, Medical, Medical Science, Pharmacology
Cover of the book Predictive ADMET by Jianling Wang, Laszlo Urban, Wiley
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Author: Jianling Wang, Laszlo Urban ISBN: 9781118783405
Publisher: Wiley Publication: February 28, 2014
Imprint: Wiley Language: English
Author: Jianling Wang, Laszlo Urban
ISBN: 9781118783405
Publisher: Wiley
Publication: February 28, 2014
Imprint: Wiley
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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