Molecular insights into 14-membered macrolides using the MM-PBSA method

Wai Keat Yam1, Habibah A Wahab

  • 1Pharmaceutical Design and Simulation (PhDS) Laboratory, School of Pharmaceutical Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia.

Insights

Molecular dynamics simulations reveal key interactions of erythromycin A and roxithromycin with the bacterial ribosome. These findings enhance understanding of macrolide antibiotic mechanisms, aiding in the development of safer drugs.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Computational Chemistry

Background:

  • Erythromycin A and roxithromycin are crucial macrolide antibiotics targeting the bacterial 50S ribosomal subunit.
  • They inhibit protein elongation by obstructing the nascent peptide exit tunnel.
  • The precise molecular mechanism of macrolide binding requires further elucidation.

Purpose of the Study:

  • To investigate the molecular interactions of erythromycin A and roxithromycin with the bacterial ribosome.
  • To elucidate the binding mechanism and quantify binding affinities using computational methods.
  • To identify key residues involved in macrolide binding to the ribosome.

Main Methods:

  • Molecular dynamics (MD) simulations were performed to model antibiotic-ribosome interactions.
  • Binding free energies were calculated using the molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) method.
  • Residue-based energy decomposition analysis was employed to identify key interacting residues.

Main Results:

  • Calculated binding free energies showed slight overestimation compared to experimental values but provided insights into binding.
  • Decomposition analysis identified critical residues in the binding pocket contributing to macrolide affinity.
  • Van der Waals interactions were found to be more significant than electrostatic interactions in macrolide binding.

Conclusions:

  • The study provides a quantitative understanding of macrolide antibiotic binding mechanisms at the molecular level.
  • Identified key interacting residues can guide the design of novel macrolide antibiotics.
  • Findings contribute to the development of safer and more effective macrolide antibiotics.

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