Tommasi Rubén, Iyer Ramkumar, Miller Alita A
Entasis Therapeutics, Inc. , 35 Gatehouse Drive , Waltham , Massachusetts 02451 , United States.
ACS Infect Dis. 2018 May 11;4(5):686-695. doi: 10.1021/acsinfecdis.8b00027. Epub 2018 Mar 29.
Our limited understanding of the molecular basis for compound entry into and efflux out of Gram-negative bacteria is now recognized as a key bottleneck for the rational discovery of novel antibacterial compounds. Traditional, large-scale biochemical or target-agnostic phenotypic antibacterial screening efforts have, as a result, not been very fruitful. A main driver of this knowledge gap has been the historical lack of predictive cellular assays, tools, and models that provide structure-activity relationships to inform optimization of compound accumulation. A variety of recent approaches has recently been described to address this conundrum. This Perspective explores these approaches and considers ways in which their integration could successfully redirect antibacterial drug discovery efforts.
我们对革兰氏阴性菌中化合物的摄入和流出分子基础的了解有限,这如今被认为是合理发现新型抗菌化合物的关键瓶颈。因此,传统的大规模生化或无靶点表型抗菌筛选工作成效并不显著。造成这一知识差距的主要原因一直是长期缺乏能够提供构效关系以指导化合物积累优化的预测性细胞分析方法、工具和模型。最近已经描述了多种方法来解决这一难题。本观点探讨了这些方法,并考虑了将它们整合起来如何能够成功地重新引导抗菌药物发现工作。