Development of the cell morphology database for drug and bioprobe discovery

为了发现小的类药物分子，我们构建了细胞形态百科全书，包括各种化合物诱导的细胞形状变化。特别是，我们开发了高含量的图像分析方法来检测~100种常规使用的化学品对细胞形态的影响，并对获得的表型数据进行了统计表征。我们证明了基于细胞形态的图谱系统不仅再现了一系列具有已知靶点的药物的“药物-靶点-表型”关系，而且还为发现独特的候选药物扫清了道路。

To discover small drug like molecules, we have constructed the encyclopedia of cellular morphology, consisting of the cell-shape changes induced by various compounds. Particularly, we have developed high-content image analysis method to examine the effect of～ 100 routinely used chemicals on the cell morphology accompanied by statistical characterization of the obtained phenotypic data. We demonstrated the cell morphology-based profiling system not only reproduces "drug-target-phenotype" relationships for a series of drugs with known targets but also raises the possibility to clear the way to discovery of unique drug candidates.