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Combinatorial Libraries As a Tool for the Discovery of Novel, Broad-Spectrum Antibacterial Agents Targeting the ESKAPE Pathogens

机译:组合图书馆作为发现针对ESKAPE病原体的新型广谱抗菌剂的工具

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Mixture based synthetic combinatorial libraries offer a tremendous enhancement for the rate of drug discovery, allowing the activity of millions of compounds to be assessed through the testing of exponentially fewer samples. In this study, we used a scaffold-ranking library to screen 37 different libraries for antibacterial activity against the ESKAPE pathogens. Each library contained between 10000 and 750000 structural analogues for a total of >6 million compounds. From this, we identified a bis-cyclic guanidine library that displayed strong antibacterial activity. A positional scanning library for these compounds was developed and used to identify the most effective functional groups at each variant position. Individual compounds were synthesized that were broadly active against all ESKAPE organisms at concentrations <2 mu M. In addition, these compounds were bactericidal, had antibiofilm effects, showed limited potential for the development of resistance, and displayed almost no toxicity when tested against human lung cells and erythrocytes. Using a murine model of peritonitis, we also demonstrate that these agents are highly efficacious in vivo.
机译:基于混合物的合成组合库极大地提高了药物发现的速度,从而可以通过测试数量减少的样品来评估数百万种化合物的活性。在这项研究中,我们使用了一个支架排名文库来筛选37个不同的文库对ESKAPE病原体的抗菌活性。每个文库包含10000至750000个结构类似物,共计> 600万个化合物。由此,我们确定了显示出强大抗菌活性的双环胍库。开发了这些化合物的位置扫描库,并将其用于识别每个变体位置上最有效的官能团。合成了对所有ESKAPE生物体均具有广泛活性的单个化合物,浓度小于2μM。此外,这些化合物具有杀菌作用,具有抗生物膜作用,显示出有限的产生抗药性的潜力,并且在针对人肺进行测试时几乎没有毒性细胞和红细胞。使用小鼠的腹膜炎模型,我们还证明了这些药物在体内是高度有效的。

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