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