Maximizing the Outcome of Early ADMET Models: Strategies to Win the Drug Hunting Battles?
Tools
Tools
Wang, Jianling and Collis, Alan (2011) Maximizing the Outcome of Early ADMET Models: Strategies to Win the Drug Hunting Battles? Expert Opinion in Drug Metabolism and Toxicity, 7 (4). pp. 381-386. ISSN 1742-5255
Abstract
Despite substantial changes in the drug discovery paradigm leveraged from the advancement of early ADMET technologies, an open debate remains on how full the return on investment is, along with where to balance risk to costs of lost opportunity in the clinic. Here the recent advancement of ADMET tools, the areas where they seem to work and where their application and connection with physiology in man remain challenging were briefly reviewed. While the “more is better” type of “box-checking” profiling strategy is no longer viable, the key to success lies in an intelligent integration of existing in silico, in vitro and in vivo ADMET data to help generate and test hypotheses that are critical for projecting the benefits and risks of a drug candidate in clinic. The improvement of ISIVIVC and best utilization of early ADMET data are far more critical and urgent than expanding capacity and portfolio in leveraging ADMET to win the drug hunting battles in the post-genome era.
| Item Type: | Article |
|---|---|
| Related URLs: | |
| Additional Information: | subject to Restrictions below, author can archive post-print (ie final draft post-refereeing |
| Related URLs: | |
| Date Deposited: | 13 Oct 2015 13:15 |
| Last Modified: | 13 Oct 2015 13:15 |
| URI: | https://oak.novartis.com/id/eprint/4142 |