Abstract #301053

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JSM 2002 Abstract #301053
Activity Number: 374
Type: Topic Contributed
Date/Time: Thursday, August 15, 2002 : 8:30 AM to 10:20 AM
Sponsor: Section on Health Policy Statistics*
Abstract - #301053
Title: A Factorial Design to Optimize Cell-Based Drug Discovery Analysis
Author(s): Bingming Yi*+ and Jacqueline Hughes-Oliver and Stanley Young and Lei Zhu
Affiliation(s): North Carolina State University and North Carolina State University and GlaxoSmithKline, Inc. and GlaxoSmithKline, Inc.
Address: 2800, Brigadoon Dr. , Apt 1, Raleigh, North Carolina, 27606-3068, USA
Keywords: Cell-Based Analysis ; Hit Rate ; High Throughput Screening ; Factorial Design ; Lift Chart
Abstract:

Drug discovery is dependent on finding a very small number of biologically active or potent compounds among millions of compounds stored in chemical collections. Quantitative structure activity relationships suggest that potency of a compound is highly related to that compound's chemical makeup or structure. Cell-based methods use the information of a compound's structure to predict potency. In order to improve the efficiency of cell-based methods, we consider a number of potentially influential factors. A fractional design is implemented to evaluate the effects of these factors. Lift chart results show that the design scheme is able to find conditions to enhance hit rates.

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