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The Kinetic Model of Gases01:24

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The kinetic model of gases explains the properties of a perfect gas using three main assumptions: molecules move in ceaseless random motion, their size is negligible compared to the distances between them, and they do not interact except during perfectly elastic collisions. The total energy of a gas is the sum of the kinetic energies of all its constituent molecules. The pressure exerted by the gas arises from the continual bombardment of the container walls by billions of colliding molecules.
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Although gaseous molecules travel at tremendous speeds (hundreds of meters per second), they collide with other gaseous molecules and travel in many different directions before reaching the desired target. At room temperature, a gaseous molecule will experience billions of collisions per second. The mean free path is the average distance a molecule travels between collisions. The mean free path increases with decreasing pressure; in general, the mean free path for a gaseous molecule will be...
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Passive diffusion is a critical process that allows small lipophilic drugs to cross the cell membrane along a concentration gradient. This mechanism's efficiency depends on four primary factors: the membrane's surface area, the drug's lipid-water partition coefficient, the concentration gradient, and the membrane's thickness.
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Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
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Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
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A kinetic model for molecular diffusion through pores.

Tommaso D'Agostino1, Samuele Salis1, Matteo Ceccarelli1

  • 1Department of Physics, University of Cagliari, Italy.

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|January 23, 2016
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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.

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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.