1 GlaxoSmithKline R&D Pharmaceuticals, Computational Chemistry, Collegeville, PA, USA.
2 GlaxoSmithKline R&D Pharmaceuticals, Sample Management Technologies, Collegeville, PA, USA.
SLAS Discov. 2018 Jul;23(6):532-545. doi: 10.1177/2472555218768497. Epub 2018 Apr 26.
High-throughput screening (HTS) hits include compounds with undesirable properties. Many filters have been described to identify such hits. Notably, pan-assay interference compounds (PAINS) has been adopted by the community as the standard term to refer to such filters, and very useful guidelines have been adopted by the American Chemical Society (ACS) and subsequently triggered a healthy scientific debate about the pitfalls of draconian use of filters. Using an inhibitory frequency index, we have analyzed in detail the promiscuity profile of the whole GlaxoSmithKline (GSK) HTS collection comprising more than 2 million unique compounds that have been tested in hundreds of screening assays. We provide a comprehensive analysis of many previously published filters and newly described classes of nuisance structures that may serve as a useful source of empirical information to guide the design or growth of HTS collections and hit triaging strategies.
高通量筛选 (HTS) 的命中结果包括具有不良性质的化合物。已经描述了许多过滤器来识别此类命中结果。值得注意的是,pan-assay interference compounds (PAINS) 已被该领域采用为标准术语来指代此类过滤器,并且美国化学学会 (ACS) 已经采用了非常有用的指南,并随后引发了关于严厉使用过滤器的陷阱的健康科学辩论。我们使用抑制频率指数,详细分析了整个葛兰素史克 (GSK) HTS 化合物库的混杂特性,该化合物库包含超过 200 万个独特化合物,已经在数百种筛选测定中进行了测试。我们对许多以前发表的过滤器和新描述的一类滋扰结构进行了全面分析,这些结构可能成为指导 HTS 化合物库设计或增长和命中初筛策略的有用经验信息来源。