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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.
Journal of Chemical Information and Modeling
|May 28, 2009
Summary
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.
