Gao Yu, Amar Sabrina, Pahwa Sonia, Fields Gregg, Kodadek Thomas
Departments of Chemistry and Cancer Biology The Scripps Research Institute m 130 Scripps Way, Jupiter, Florida 33458, United States.
ACS Comb Sci. 2015 Jan 12;17(1):49-59. doi: 10.1021/co500154e. Epub 2014 Dec 19.
Primary hits that arise from screening one bead one compound (OBOC) libraries against a target of interest rarely have high potency. However, there has been little work focused on the development of an efficient workflow for primary hit improvement. In this study, we show that by characterizing the binding constants for all of the hits that arise from a screen, structure-activity relationship (SAR) data can be obtained to inform the design of "derivative libraries" of a primary hit that can then be screened under more demanding conditions to obtain improved compounds. Here, we demonstrate the rapid improvement of a primary hit against matrix metalloproteinase-14 using this approach.
通过对一珠一化合物(OBOC)文库针对感兴趣的靶点进行筛选所产生的初始命中物很少具有高效能。然而,很少有工作聚焦于开发一种用于改进初始命中物的高效工作流程。在本研究中,我们表明,通过表征筛选中产生的所有命中物的结合常数,可以获得构效关系(SAR)数据,以指导设计初始命中物的“衍生文库”,然后可以在更严格的条件下对其进行筛选以获得改进的化合物。在此,我们展示了使用这种方法对针对基质金属蛋白酶-14的初始命中物的快速改进。