Cargando…
General Platform for Systematic Quantitative Evaluation of Small-Molecule Permeability in Bacteria
[Image: see text] 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...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2014
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4245172/ https://www.ncbi.nlm.nih.gov/pubmed/25198656 http://dx.doi.org/10.1021/cb5003015 |
_version_ | 1782346325293006848 |
---|---|
author | Davis, Tony D. Gerry, Christopher J. Tan, Derek S. |
author_facet | Davis, Tony D. Gerry, Christopher J. Tan, Derek S. |
author_sort | Davis, Tony D. |
collection | PubMed |
description | [Image: see text] 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. |
format | Online Article Text |
id | pubmed-4245172 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | American Chemical
Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-42451722015-09-08 General Platform for Systematic Quantitative Evaluation of Small-Molecule Permeability in Bacteria Davis, Tony D. Gerry, Christopher J. Tan, Derek S. ACS Chem Biol [Image: see text] 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. American Chemical Society 2014-09-08 2014-11-21 /pmc/articles/PMC4245172/ /pubmed/25198656 http://dx.doi.org/10.1021/cb5003015 Text en Copyright © 2014 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes. |
spellingShingle | Davis, Tony D. Gerry, Christopher J. Tan, Derek S. General Platform for Systematic Quantitative Evaluation of Small-Molecule Permeability in Bacteria |
title | General Platform for Systematic Quantitative Evaluation
of Small-Molecule Permeability in Bacteria |
title_full | General Platform for Systematic Quantitative Evaluation
of Small-Molecule Permeability in Bacteria |
title_fullStr | General Platform for Systematic Quantitative Evaluation
of Small-Molecule Permeability in Bacteria |
title_full_unstemmed | General Platform for Systematic Quantitative Evaluation
of Small-Molecule Permeability in Bacteria |
title_short | General Platform for Systematic Quantitative Evaluation
of Small-Molecule Permeability in Bacteria |
title_sort | general platform for systematic quantitative evaluation
of small-molecule permeability in bacteria |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4245172/ https://www.ncbi.nlm.nih.gov/pubmed/25198656 http://dx.doi.org/10.1021/cb5003015 |
work_keys_str_mv | AT davistonyd generalplatformforsystematicquantitativeevaluationofsmallmoleculepermeabilityinbacteria AT gerrychristopherj generalplatformforsystematicquantitativeevaluationofsmallmoleculepermeabilityinbacteria AT tandereks generalplatformforsystematicquantitativeevaluationofsmallmoleculepermeabilityinbacteria |