Abstract
Predicting the effect that new compounds might have when administered to human beings is a common desire shared by researchers in the pharmaceutical industry and those interested in psychoactive compounds (illicit or otherwise). The experience of the pharmaceutical industry is that making such predictions at a usefully accurate level is not only difficult but that even when billions of dollars are spent to ensure that only compounds likely to have a desired effect without unacceptable side‐effects are dosed to humans in clinical trials, they fail in more than 90% of cases. A range of experimental and computational techniques is used and they are placed in their context in this paper. The particular roles played by computational techniques and their limitations are highlighted; these techniques are used primarily to reduce the number of experiments that must be performed but cannot replace those experiments. Copyright © 2013 John Wiley & Sons, Ltd.
Original language | English |
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Pages (from-to) | 739-745 |
Number of pages | 7 |
Journal | Drug Testing and Analysis |
Volume | 6 |
Issue number | 7-8 |
DOIs | |
Publication status | Published - 2014 |
Keywords
- pharmaceutical industry
- computational chemistry
- psychoactive drug
- illicit compounds