Journal of Computer-Aided Molecular Design

, Volume 22, Issue 2, pp 81–89

QSAR: dead or alive?


DOI: 10.1007/s10822-007-9162-7

Cite this article as:
Doweyko, A.M. J Comput Aided Mol Des (2008) 22: 81. doi:10.1007/s10822-007-9162-7


This perspective concerns the methods employed within the current drug discovery community to develop predictive quantitative structure–activity relationships (QSAR). Specifically, a number of cautions are provided which may circumvent misuse and misunderstanding of the technique. Ignorance of such caveats has led to a discouraging tendency of the methods to result in poorly predictive models. Among these pitfalls are the fondness with which we associate correlation with causation, the mesmerizing influence of large numbers of molecular descriptors, the incessant misuse of the leave-one-out paradigm, and finally, the QSAR enigma wherein model predictivity is not a necessary component of a model’s usefulness.


Correlation Descriptors Drug design QSAR Quantitative structure–activity relationships 

Copyright information

© Springer Science+Business Media B.V. 2007

Authors and Affiliations

  1. 1.Bristol-Myers Squibb, Research and DevelopmentCADD GroupPrincetonUSA

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