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
[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