Davis Tony D, Gerry Christopher J, Tan Derek S
Pharmacology Program-Weill Cornell Graduate School of Medical Sciences, ‡Gerstner Sloan Kettering Summer Undergraduate Research Program, §Molecular Pharmacology & Chemistry Program and Tri-Institutional Research Program, Memorial Sloan Kettering Cancer Center , 1275 York Avenue, Box 422, New York, New York 10065, United States.
ACS Chem Biol. 2014 Nov 21;9(11):2535-44. doi: 10.1021/cb5003015. Epub 2014 Sep 8.
The chemical features that impact small-molecule permeability across bacterial membranes are poorly understood, and the resulting lack of tools to predict permeability presents a major obstacle to the discovery and development of novel antibiotics. Antibacterials are known to have vastly different structural and physicochemical properties compared to nonantiinfective drugs, as illustrated herein by principal component analysis (PCA). To understand how these properties influence bacterial permeability, we have developed a systematic approach to evaluate the penetration of diverse compounds into bacteria with distinct cellular envelopes. Intracellular compound accumulation is quantitated using LC-MS/MS, then PCA and Pearson pairwise correlations are used to identify structural and physicochemical parameters that correlate with accumulation. An initial study using 10 sulfonyladenosines in Escherichia coli, Bacillus subtilis, and Mycobacterium smegmatis has identified nonobvious correlations between chemical structure and permeability that differ among the various bacteria. Effects of cotreatment with efflux pump inhibitors were also investigated. This sets the stage for use of this platform in larger prospective analyses of diverse chemotypes to identify global relationships between chemical structure and bacterial permeability that would enable the development of predictive tools to accelerate antibiotic drug discovery.
影响小分子穿过细菌膜通透性的化学特性仍知之甚少,且由于缺乏预测通透性的工具,这成为新型抗生素发现和开发的主要障碍。与非抗感染药物相比,抗菌药物具有截然不同的结构和物理化学性质,主成分分析(PCA)在此对此进行了说明。为了解这些性质如何影响细菌通透性,我们开发了一种系统方法,以评估不同化合物进入具有不同细胞包膜的细菌的渗透情况。使用液相色谱-串联质谱(LC-MS/MS)对细胞内化合物积累进行定量,然后使用主成分分析和皮尔逊成对相关性来确定与积累相关的结构和物理化学参数。一项对大肠杆菌、枯草芽孢杆菌和耻垢分枝杆菌中10种磺酰腺苷的初步研究,已确定了不同细菌中化学结构与通透性之间不明显的相关性。还研究了与外排泵抑制剂联合处理的效果。这为在更大规模的不同化学类型前瞻性分析中使用该平台奠定了基础,以确定化学结构与细菌通透性之间的整体关系,从而开发预测工具以加速抗生素药物发现。