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Updated: Mar 26, 2026

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
Published on: September 26, 2016
A kinetic model for molecular diffusion through pores
Tommaso D'Agostino1, Samuele Salis1, Matteo Ceccarelli1
1Department of Physics, University of Cagliari, Italy.
Abstract:
The number of pathogens developing multiple drug resistance is ever increasing. The impact on healthcare systems is huge and the need for novel antibiotics as well a new way to develop them is urgent, especially against Gram-negative bacteria. The first defense of these bacteria is the outer membrane, where unspecific protein channels (porins) modulate nutrients passive diffusion. Also polar antibiotics enter through this path and down-regulation and/or mutation of porins are very common in drug resistant strains. Our inability to come up with novel effective antibiotics mostly relies upon the insufficient comprehension of the key molecular features enabling better penetration through porins. Molecular dynamics simulations offer an extraordinary tool in the study of the dynamics of biological systems; however, one of the major drawbacks of this method is that its use is currently restricted to study time scales of the order of microsecond. Enhanced sampling methods like Metadynamics have been recently used to investigate the diffusion of antibiotics through bacterial porins. The main limitation is that dynamical properties cannot be estimated because of the different potential that the systems under study are experiencing. Recently, the scope of Metadynamics has been extended. By applying an a posteriori analysis one can obtain rates of transitions and rate-limiting steps of the process under study, directly comparable with kinetic data extracted from electrophysiology experiments. In this work, we apply this method to the study of the permeability of Escherichia coli's OmpF with respect to Meropenem, finding good agreement with the residence time obtained analyzing experimental current noise. This article is part of a Special Issue entitled: Membrane Proteins edited by J.C. Gumbart and Sergei Noskov.
Insights
Novel computational methods now allow us to understand how antibiotics cross bacterial outer membranes. This breakthrough aids in developing new drugs to combat rising antimicrobial resistance, particularly in Gram-negative bacteria.
Area of Science:
- Computational biophysics
- Molecular dynamics simulations
- Membrane protein transport
Background:
- Rising antimicrobial resistance necessitates novel antibiotics, especially against Gram-negative bacteria.
- Bacterial outer membranes, featuring porin channels, are key to antibiotic resistance.
- Understanding porin permeability is crucial for designing effective antibiotics.
Purpose of the Study:
- To investigate the permeability of Escherichia coli's OmpF porin to Meropenem.
- To apply advanced computational methods for analyzing antibiotic-antibiotic transport dynamics.
- To bridge the gap between simulation data and experimental kinetic measurements.
Main Methods:
- Utilized enhanced sampling Metadynamics simulations.
- Applied a posteriori analysis to extract transition rates and rate-limiting steps.
- Validated simulation results against experimental electrophysiology data (current noise analysis).
Main Results:
- Successfully simulated Meropenem transport through the OmpF porin.
- Achieved good agreement between simulated residence times and experimental data.
- Demonstrated the capability of the extended Metadynamics approach for kinetic analysis.
Conclusions:
- The enhanced Metadynamics method provides accurate kinetic insights into antibiotic permeation.
- This approach can guide the development of new antibiotics targeting Gram-negative bacteria.
- Computational simulations are becoming indispensable tools in antibiotic drug discovery.
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