Toward the rational design of macrolide antibiotics to combat resistance

Anna Pavlova, Jerry M. Parks, Adegboyega K. Oyelere, James C. Gumbart

Research output: Contribution to journalEditorial

10 Scopus citations

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 languageEnglish
Pages (from-to)641-652
Number of pages12
JournalChemical Biology and Drug Design
Volume90
Issue number5
DOIs
StatePublished - 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]

FundersFunder number
Compute and Data Environment for Science
Extreme Science and Engineering Discovery Environment
UT-Battelle
National Science FoundationMCB-1452464, 1452464
U.S. Department of EnergyDE-AC05-00OR22725
National Sleep FoundationOCI-1053575
Oak Ridge National Laboratory

    Keywords

    • antibiotics
    • drug design
    • macrolides
    • molecular modeling
    • ribosome

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