Predictive ADMET : integrative approaches in drug discovery and development / edited by Jianling Wang, Laszlo Urban.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- computer
- online resource
- 9781118783405
- 1118783409
- 9781118783306
- 1118783301
- 9781118783269
- 1118783263
- 9781118783344
- 1118783344
- 1118299922
- 9781118299920
- 615.1/9 23
- RM301.25
- QV 745
Includes bibliographical references and index.
"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.
Print version record and CIP data provided by publisher.
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