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Molecular dynamics study on micelle-small molecule interactions: developing a strategy for an extensive comparison.

Aleksei Kabedev1, Christel A S Bergström1,2, Per Larsson3,4

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Optimizing molecular dynamics (MD) simulations improves predictions of drug solubilization in intestinal micelles. This research balances accuracy and computational cost for better drug delivery and bioavailability studies.

Keywords:
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Area of Science:

  • Computational chemistry
  • Biophysical chemistry
  • Drug delivery science

Background:

  • Accurate prediction of drug solubilization in intestinal fluids is crucial for developing effective drug delivery systems and enhancing bioavailability.
  • Existing computational methods face challenges in balancing accuracy with computational cost for extensive studies.

Purpose of the Study:

  • To determine an optimal molecular dynamics (MD) protocol for evaluating small-molecule interactions with intestinal micelles.
  • To compare different simulation setups for efficiency and accuracy in predicting solubilization capacity.

Main Methods:

  • Molecular dynamics (MD) simulations were employed to generate free energy profiles for drug and surfactant molecules.
  • Compared simulation strategies included freely assembled vs. pre-organized micelles, full profiles vs. point-wise calculations, and all-atom (AA) vs. coarse-grained (CG) models.
  • Umbrella sampling (US) and point-wise free energy (FE) calculations were utilized.

Main Results:

  • Combining different simulation techniques offers an advantageous approach for optimizing performance and accuracy.
  • The study identified specific MD protocols suitable for evaluating drug solubilization in intestinal colloids.
  • Efficiency of AA and CG umbrella sampling (US) simulations and point-wise free energy (FE) calculations were compared.

Conclusions:

  • An optimized MD protocol can effectively predict the solubilizing capacity of micelles and vesicles in intestinal fluid.
  • This approach aids in the development of novel drug delivery techniques and improves bioavailability predictions.
  • The findings provide a framework for computationally analyzing active pharmaceutical ingredient solubilization in intestinal environments.