Babaoglu Kerim, Simeonov Anton, Irwin John J, Nelson Michael E, Feng Brian, Thomas Craig J, Cancian Laura, Costi M Paola, Maltby David A, Jadhav Ajit, Inglese James, Austin Christopher P, Shoichet Brian K
Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California 94158-2330, USA.
J Med Chem. 2008 Apr 24;51(8):2502-11. doi: 10.1021/jm701500e. Epub 2008 Mar 12.
High-throughput screening (HTS) is widely used in drug discovery. Especially for screens of unbiased libraries, false positives can dominate "hit lists"; their origins are much debated. Here we determine the mechanism of every active hit from a screen of 70,563 unbiased molecules against beta-lactamase using quantitative HTS (qHTS). Of the 1,274 initial inhibitors, 95% were detergent-sensitive and were classified as aggregators. Among the 70 remaining were 25 potent, covalent-acting beta-lactams. Mass spectra, counter-screens, and crystallography identified 12 as promiscuous covalent inhibitors. The remaining 33 were either aggregators or irreproducible. No specific reversible inhibitors were found. We turned to molecular docking to prioritize molecules from the same library for testing at higher concentrations. Of 16 tested, 2 were modest inhibitors. Subsequent X-ray structures corresponded to the docking prediction. Analog synthesis improved affinity to 8 microM. These results suggest that it may be the physical behavior of organic molecules, not their reactivity, that accounts for most screening artifacts. Structure-based methods may prioritize weak-but-novel chemotypes in unbiased library screens.
高通量筛选(HTS)在药物研发中被广泛应用。特别是对于无偏向性文库的筛选,假阳性结果可能在“命中列表”中占主导地位;其来源一直存在诸多争议。在此,我们使用定量高通量筛选(qHTS)确定了从70563个无偏向性分子针对β-内酰胺酶的筛选中每个活性命中物的作用机制。在1274个初始抑制剂中,95%对去污剂敏感,被归类为聚集剂。在剩下的70个中,有25个是强效的、共价作用的β-内酰胺类。质谱、反筛选和晶体学鉴定出12个为混杂共价抑制剂。其余33个要么是聚集剂,要么不可重复。未发现特异性可逆抑制剂。我们转向分子对接,以便从同一文库中挑选分子进行更高浓度的测试。在测试的16个分子中,有2个是适度的抑制剂。随后的X射线结构与对接预测相符。类似物合成将亲和力提高到了8微摩尔。这些结果表明,可能是有机分子的物理行为而非其反应性导致了大多数筛选假象。基于结构的方法可能会在无偏向性文库筛选中对弱但新颖的化学类型进行优先排序。