General Platform for Systematic Quantitative Evaluation of Small-Molecule Permeability in Bacteria

被引:99
作者
Davis, Tony D. [1 ]
Gerry, Christopher J. [2 ]
Tan, Derek S. [1 ,2 ,3 ,4 ]
机构
[1] Mem Sloan Kettering Canc Ctr, Weill Cornell Grad Sch Med Sci, Pharmacol Program, New York, NY 10065 USA
[2] Mem Sloan Kettering Canc Ctr, Gerstner Sloan Kettering Summer Undergrad Res Pro, New York, NY 10065 USA
[3] Mem Sloan Kettering Canc Ctr, Mol Pharmacol & Chem Program, New York, NY 10065 USA
[4] Mem Sloan Kettering Canc Ctr, Triinst Res Program, New York, NY 10065 USA
基金
美国国家卫生研究院;
关键词
MYCOBACTERIUM-TUBERCULOSIS; SIDEROPHORE BIOSYNTHESIS; PSEUDOMONAS-AERUGINOSA; ESCHERICHIA-COLI; DRUG-RESISTANCE; NUCLEOSIDE ANTIBIOTICS; MULTIDRUG-RESISTANCE; OUTER-MEMBRANE; COA SYNTHETASE; ACCUMULATION;
D O I
10.1021/cb5003015
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:2535 / 2544
页数:10
相关论文
共 52 条