Root David E, Flaherty Stephen P, Kelley Brian P, Stockwell Brent R
Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, USA.
Chem Biol. 2003 Sep;10(9):881-92. doi: 10.1016/j.chembiol.2003.08.009.
We present a method for testing many biological mechanisms in cellular assays using an annotated library of 2036 small organic molecules. This annotated compound library represents a large-scale collection of compounds with diverse, experimentally confirmed biological mechanisms and effects. We found that this chemical library is (1) more structurally diverse than conventional, commercially available libraries, (2) enriched in active compounds in a tumor cell viability assay, and (3) capable of generating hypotheses regarding biological mechanisms underlying cellular processes. We elucidated biological mechanisms relevant to the antiproliferative activity of 85 compounds from this library that were selected using a high-throughput cell viability screen. We developed a novel automated scoring system for identifying statistically enriched mechanisms among such a subset of compounds. This scoring system can identify both previously known and potentially novel antiproliferative mechanisms.
我们展示了一种在细胞实验中使用包含2036种小有机分子的注释文库来测试多种生物学机制的方法。这个注释化合物文库代表了大量具有多样的、经实验证实的生物学机制和效应的化合物集合。我们发现这个化学文库:(1)在结构上比传统的市售文库更加多样;(2)在肿瘤细胞活力测定中富含活性化合物;(3)能够生成关于细胞过程潜在生物学机制的假设。我们阐明了与通过高通量细胞活力筛选从该文库中选出的85种化合物的抗增殖活性相关的生物学机制。我们开发了一种新颖的自动评分系统,用于在此类化合物子集中识别统计学上富集的机制。该评分系统既能识别先前已知的,也能识别潜在的新型抗增殖机制。