Jin Xiao, Daher Samer S, Lee Miseon, Buttaro Bettina, Andrade Rodrigo B
Department of Chemistry, Temple University, Philadelphia, Pennsylvania 19122, United States.
Department of Microbiology and Immunology, Temple University School of Medicine, Philadelphia, Pennsylvania 19140, United States.
ACS Med Chem Lett. 2018 Aug 13;9(9):907-911. doi: 10.1021/acsmedchemlett.8b00248. eCollection 2018 Sep 13.
click chemistry has been a powerful method for fragment-based drug design since its discovery in 2002. Recently, we demonstrated that the bacterial ribosome can template the azide-alkyne cycloaddition reaction to expedite the discovery of novel antibiotics. We now report this process can be performed in an antibiotic-resistant bacterial cell. The corresponding triazole products formed are potent antibiotics that inhibit bacterial growth; moreover, the potency of each cycloadduct can be visualized using the traditional MIC assay in a 96-well plate format. We characterized the clicked products by independent chemical synthesis and LC-MS analysis, which showed that mass count percent increase was directly proportional to 1/MIC. In other words, potent compounds detected by MIC were formed in greater amounts. Control experiments unambiguously showed the ribosome was responsible for templating triazole formation. Significantly, our method (1) obviates the need to isolate bacterial ribosomes; (2) could be applied to different bacterial strains, which broadens the scope and facilitates the discovery of narrow-spectrum antibiotics; and (3) does not require the knowledge of mode-of-action and thus could uncover novel antibiotic targets. We believe this method could be expanded and implemented as a novel approach for antibiotic drug discovery.
自2002年被发现以来,点击化学一直是基于片段的药物设计的有力方法。最近,我们证明细菌核糖体可以模板化叠氮化物-炔烃环加成反应,以加速新型抗生素的发现。我们现在报告这个过程可以在抗抗生素的细菌细胞中进行。形成的相应三唑产物是抑制细菌生长的强效抗生素;此外,每种环加成产物的效力可以使用传统的96孔板格式的MIC测定法来可视化。我们通过独立的化学合成和LC-MS分析对点击产物进行了表征,结果表明质量计数百分比的增加与1/MIC成正比。换句话说,通过MIC检测到的强效化合物形成的量更多。对照实验明确表明核糖体负责模板化三唑的形成。值得注意的是,我们的方法(1)无需分离细菌核糖体;(2)可以应用于不同的细菌菌株,这拓宽了范围并有助于发现窄谱抗生素;(3)不需要作用机制的知识,因此可以发现新的抗生素靶点。我们相信这种方法可以扩展并作为一种新的抗生素药物发现方法来实施。