药物研究常希望通过合成较少的化合物，就能发现最佳活性的同系物或类似物，以摆脱过去那种“泛泛合成、随机筛选”的经验性方法，减少盲目性，加快创制新药的步伐。为此，选择和确定合成对象的类型和数量就显得十分重要。本文采用Q－型聚类分析的统计方法，根据不同化合物或理 Drug research often hopes to find the best active homologues or analogs by synthesizing fewer compounds to get rid of the past, “general synthesis, random selection” of empirical methods to reduce blindness and accelerate the pace of the creation of new drugs . For this reason, it is very important to select and confirm the type and quantity of the synthetic objects. This paper uses Q-type cluster analysis of statistical methods, according to different compounds or management