Article abstract


Nature Chemical Biology 5, 479 - 483 (2009)
Published online: 31 May 2009 | doi:10.1038/nchembio.180

Quantifying biogenic bias in screening libraries

Jérôme Hert1, John J Irwin1, Christian Laggner1, Michael J Keiser1 & Brian K Shoichet1


In lead discovery, libraries of 106 molecules are screened for biological activity. Given the over 1060 drug-like molecules thought possible, such screens might never succeed. The fact that they do, even occasionally, implies a biased selection of library molecules. We have developed a method to quantify the bias in screening libraries toward biogenic molecules. With this approach, we consider what is missing from screening libraries and how they can be optimized.

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  1. Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California, USA.

Correspondence to: Brian K Shoichet1 e-mail: shoichet@cgl.ucsf.edu



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