Application of Mixture Designs for Detection and Characterization of Multi-Drug Synergism
Detection and characterization of synergism are critical focus in multi-drug interplay. To assess combined drug action, the classical methods such as isobologram and interaction index are still simple and sometimes unable to describe complex drug interaction adequately. Statistical-model based methods are found more flexible and informative in detecting and characterizing complex drug interactions, which require welldesigned experiments. In this study, a kind of experimental designs, called mixture designs, is proposed for the detection and characterization of multi-drug synergism and optimization.Compared with other statistical-model based methods, mixture designs are demonstrated to be more useful when the total dose of the drugs under investigation is to be controlled in a moderate level A case study of inhibition effect of three bioactive chemical compounds identified from an anti-angiogenesis traditional Chinese medicine on human umbilical vein endothelial cells is shown as an illustration to demonstrate the application of mixture designs in multi-drug combination discovery.
component synergism mixture design interaction isobologram interaction index fixed ratio rays
Xuan Lu Yanfang Huang Bo Zhang Shao Li
Department of Mathematical Science Tsinghua Univesity Beijing, China, 100084 Bioinformatics Division, TNLIST and Department of Automation Tsinghua Univesity Beijing, China, 1000
国际会议
武汉
英文
415-419
2007-07-06（万方平台首次上网日期，不代表论文的发表时间）