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Updated: Oct 10, 2025

Visualization of Bacterial Resistance using Fluorescent Antibiotic Probes
Published on: March 2, 2020
Rationalizing the generation of broad spectrum antibiotics with the addition of a positive charge
Nandan Haloi1, Archit Kumar Vasan1, Emily J Geddes2,3
1Theoretical and Computational Biophysics Group, NIH Center for Macromolecular Modeling and Bioinformatics, Beckman Institute for Advanced Science and Technology, Department of Biochemistry, Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign Urbana IL 61801 USA emad@illinois.edu.
Abstract:
Antibiotic resistance of Gram-negative bacteria is largely attributed to the low permeability of their outer membrane (OM). Recently, we disclosed the eNTRy rules, a key lesson of which is that the introduction of a primary amine enhances OM permeation in certain contexts. To understand the molecular basis for this finding, we perform an extensive set of molecular dynamics (MD) simulations and free energy calculations comparing the permeation of aminated and amine-free antibiotic derivatives through the most abundant OM porin of E. coli, OmpF. To improve sampling of conformationally flexible drugs in MD simulations, we developed a novel, Monte Carlo and graph theory based algorithm to probe more efficiently the rotational and translational degrees of freedom visited during the permeation of the antibiotic molecule through OmpF. The resulting pathways were then used for free-energy calculations, revealing a lower barrier against the permeation of the aminated compound, substantiating its greater OM permeability. Further analysis revealed that the amine facilitates permeation by enabling the antibiotic to align its dipole to the luminal electric field of the porin and form favorable electrostatic interactions with specific, highly-conserved charged residues. The importance of these interactions in permeation was further validated with experimental mutagenesis and whole cell accumulation assays. Overall, this study provides insights on the importance of the primary amine for antibiotic permeation into Gram-negative pathogens that could help the design of future antibiotics. We also offer a new computational approach for calculating free-energy of processes where relevant molecular conformations cannot be efficiently captured.
Insights
Adding a primary amine to antibiotics significantly enhances their ability to permeate the outer membrane of Gram-negative bacteria. This molecular insight aids in designing new drugs to combat antibiotic resistance.
Area of Science:
- Microbiology
- Computational Chemistry
- Drug Discovery
Background:
- Antibiotic resistance in Gram-negative bacteria is a major global health threat.
- The low permeability of the bacterial outer membrane (OM) is a key challenge for antibiotic efficacy.
- Previous work identified that primary amines can enhance OM permeation.
Purpose of the Study:
- To elucidate the molecular mechanisms by which primary amines improve antibiotic permeation through the Gram-negative bacterial OM.
- To compare the permeation of aminated versus amine-free antibiotic derivatives through the OmpF porin.
Main Methods:
- Extensive molecular dynamics (MD) simulations and free energy calculations were performed.
- A novel Monte Carlo and graph theory-based algorithm was developed to improve sampling of flexible drug molecules.
- Experimental validation using mutagenesis and whole-cell accumulation assays was conducted.
Main Results:
- The aminated antibiotic derivative exhibited a lower energy barrier for permeation through the OmpF porin.
- The primary amine facilitates permeation by interacting with the porin's electric field and charged residues.
- Computational and experimental data confirmed the enhanced permeability due to the amine group.
Conclusions:
- The primary amine group is crucial for enhancing antibiotic permeation into Gram-negative bacteria.
- This finding provides a valuable strategy for designing novel antibiotics to overcome resistance.
- A new computational method was presented for calculating free energy in complex molecular processes.
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