Predictive ADMET integrative approaches in drug discovery and development / edited by Jianling Wang, Metabolism and Pharmacokinetics, Novartis Institutes for Biomedical Research, Cambridge, MA, USA, Laszlo Urban, Preclinical Safety Profiling, Novartis Institutes for Biomedical Research, Cambridge, MA, USA.

Other author Wang, Jianling, 1958-
Other author Urban, Laszlo, 1951-
Format Electronic
Publication InfoHoboken, New Jersey : Wiley, [2014]
Descriptionxiv, 596 pages : illustrations ; 25 cm
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects
Drug development.
Drug Discovery--methods.
Pharmacokinetics.

Abstract "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. Featuring case studies and lessons learned from real drug discovery and development, the text: helps users diagnose ADMET problems; presents appropriate recommendations; introduces the current clinical practice for drug discovery and development; and consolidates the tools and models to intelligently integrate existing in silico, in vitro and in vivo ADMET data"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2013038054
ISBN9781118299920 (cloth)
ISBN1118299922 (cloth)

Availability

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Electronic Resources Access Content Online ✔ Available