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Analysis of fast channel blockage: revealing substrate binding in the microsecond range
Igor Bodrenko1, Harsha Bajaj, Paolo Ruggerone
1Department of Physics, University of Cagliari, S.P. Monserrato-Sestu km 0.700, I-09042 Monserrato, CA, Italy. matteo.ceccarelli@dsf.unica.it.
The Analyst
|February 27, 2015
Summary
A new method analyzes antibiotic-porin interactions by examining ion current noise, revealing fast binding events. This technique accurately measures meropenem
Area of Science:
- Microbiology
- Biophysics
- Pharmacology
Background:
- Antibiotics must cross bacterial outer membranes via porin channels to be effective.
- Hydrophilic antibiotics like β-lactams utilize porins to enter the periplasm.
- Electrophysiology, noise analysis, and single event analysis are current methods to study antibiotic-porin interactions.
Purpose of the Study:
- To develop a novel framework for analyzing ion-current noise with enhanced time resolution.
- To enable the study of fast binding events and incomplete channel blockages by substrates.
- To investigate the interaction between the antibiotic meropenem and the OmpF porin.
Main Methods:
- A new framework for ion-current noise analysis incorporating analogous filter and sampling corrections.
- Application of the method to study meropenem-OmpF porin interactions in Escherichia coli.
- Estimation of binding kinetics (on and off rates) from ion current and power spectral density.
Main Results:
- The novel method achieves extended time resolution, surpassing limitations of previous techniques.
- Fast binding events and partial channel blockages can be analyzed.
- The average residence time of meropenem within the OmpF porin was determined to be in the microseconds range.
Conclusions:
- The developed noise analysis framework offers a powerful tool for studying rapid molecular interactions at the single-channel level.
- This method provides new insights into antibiotic transport mechanisms across bacterial membranes.
- Understanding these interactions is crucial for developing more effective antibiotics.

