Abstract
Macrolides, one of the most prescribed classes of antibiotics, bind in the bacterial ribosome's polypeptide exit tunnel and inhibit translation. However, mutations and other ribosomal modifications, especially to the base A2058 of the 23S rRNA, have led to a growing resistance problem. Here, we have used molecular dynamics simulations to study the macrolides erythromycin and azithromycin in wild-type, A2058G-mutated, and singly or doubly A2058-methylated Escherichia coli ribosomes. We find that the ribosomal modifications result in less favorable interactions between the base 2058 and the desosamine sugar of the macrolides, as well as greater displacement of the macrolides from their crystal structure position, illuminating the causes of resistance. We have also examined four azithromycin derivatives containing aromatic indole-analog moieties, which were previously designed based on simulations of the stalling peptide SecM in the ribosome. Surprisingly, we found that the studied moieties could adopt very different geometries when interacting with a key base in the tunnel, A751, possibly explaining their distinct activities. Based on our simulations, we propose modifications to the indole-analog moieties that should increase their interactions with A751 and, consequently, enhance the potency of future azithromycin derivatives.
Original language | English |
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Pages (from-to) | 641-652 |
Number of pages | 12 |
Journal | Chemical Biology and Drug Design |
Volume | 90 |
Issue number | 5 |
DOIs | |
State | Published - Nov 2017 |
Funding
This work was supported by a National Science Foundation CAREER award to J.C.G. (MCB-1452464). Computational resources were provided via the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by NSF grant number OCI-1053575, and the Compute and Data Environment for Science (CADES) at ORNL, which is managed by UT-Battelle, LLC for the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. Molecular images were made with VMD. This work was supported by a National Science Foundation CAREER award to J.C.G. (MCB-1452464). Computational resources were provided via the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by NSF grant number OCI-1053575, and the Compute and Data Environment for Science (CADES) at ORNL, which is managed by UT-Battelle, LLC for the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. Molecular images were made with VMD.[82]
Funders | Funder number |
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Compute and Data Environment for Science | |
Extreme Science and Engineering Discovery Environment | |
UT-Battelle | |
National Science Foundation | MCB-1452464, 1452464 |
U.S. Department of Energy | DE-AC05-00OR22725 |
National Sleep Foundation | OCI-1053575 |
Oak Ridge National Laboratory |
Keywords
- antibiotics
- drug design
- macrolides
- molecular modeling
- ribosome