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Updated: Apr 24, 2026
Models and Methods to Evaluate Transport of Drug Delivery Systems Across Cellular Barriers
Published on: October 17, 2013
General platform for systematic quantitative evaluation of small-molecule permeability in bacteria
Tony D Davis1, Christopher J Gerry, Derek S Tan
1Pharmacology 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.
Understanding chemical properties that affect antibiotic penetration into bacteria is key for developing new drugs. This study identifies structure-permeability correlations in bacteria to aid antibiotic discovery.
Area of Science:
- Microbiology
- Medicinal Chemistry
- Drug Discovery
Background:
- Predicting small-molecule permeability across bacterial membranes is crucial for developing new antibiotics but remains poorly understood.
- Antibacterial compounds exhibit distinct structural and physicochemical properties compared to non-antibacterial drugs.
- Current limitations in predicting permeability hinder the discovery and development of novel antibacterial agents.
Purpose of the Study:
- To systematically evaluate the penetration of diverse chemical compounds into bacteria with varying cellular envelopes.
- To identify key structural and physicochemical parameters influencing bacterial permeability.
- To establish a platform for developing predictive tools for antibiotic drug discovery.
Main Methods:
- Developed a systematic approach to assess compound penetration into bacterial cells.
- Quantified intracellular compound accumulation using Liquid Chromatography-tandem Mass Spectrometry (LC-MS/MS).
- Employed Principal Component Analysis (PCA) and Pearson correlations to identify structure-permeability relationships.
Main Results:
- Identified non-obvious correlations between chemical structure and bacterial permeability in *Escherichia coli*, *Bacillus subtilis*, and *Mycobacterium smegmatis*.
- Observed that permeability correlations differ across bacterial species with distinct cell envelopes.
- Investigated the impact of efflux pump inhibitors on compound permeability.
Conclusions:
- The developed platform enables the identification of structure-permeability relationships across diverse bacterial species.
- Findings provide a foundation for developing predictive models to accelerate the discovery of novel antibiotics.
- Further analyses with diverse chemotypes will elucidate global relationships between chemical properties and bacterial permeability.
