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.
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