Statistical Design of Pools Using Optimal Coverage and Minimal Collision


Remlinger, Katja S.; Young, S. Stanley; Hughes-Oliver, Jacqueline M.; Lam, Raymond L.   (2006, ASA/ASQ)   GlaxoSmithKline, Research Triangle Park, NC; National Institute of Statistical Sciences, Research Triangle Park, NC; North Carolina State University, Raleigh, NC; Centocor, Malvern, PA

Technometrics    Vol. 48    No. 1
QICID: 20449    February 2006    pp. 133-143
List $10.00
Member $5.00

This article is not available online. Contact us to receive a scan of the archive, in PDF format.

Article Abstract

[This abstract is based on the authors' abstract.]The screening of large chemical libraries to identify new compounds can be simplified by testing compounds in pools. Two criteria for designing pools are considered: optimal coverage of the chemical space and minimal collision between compounds. Four pooling designs are applied to a public database and evaluated by determining how well the design criteria are met and whether the methods are able to find diverse active compounds. While one pool was outstanding, all designed pools outperformed randomly designed pools.


Pharmaceutical industry,Pooled data,Pooling,Screening,Throughput

Browse QIC Articles Chronologically:     Previous Article     Next Article

New Search

Featured advertisers

ASQ is a global community of people passionate about quality, who use the tools, their ideas and expertise to make our world work better. ASQ: The Global Voice of Quality.