A Factorial Design To Optimize Cell-Based Drug Discovery Analysis
Bingming Yi, Jacqueline M. Hughes‐Oliver, Lei Zhu, S. Stanley Young · Journal of Chemical Information and Computer Sciences · 2002
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. To improve the efficiency of cell-based analysis methods for high throughput screening, where information of a compound's structure is used to predict potency, we consider a number of potentially influential factors in the cell-based approach. A fractional factorial design is implemented to evaluate the effects of these factors, and lift chart results show that the design scheme is able to find conditions that enhance hit rates.