bioRxivBiophysicsPreprint
Differentiating interactions of antimicrobials with Gram-negative and Gram-positive bacterial cell walls using molecular dynamics simulations
Abstract
Developing molecular models to capture the complex physicochemical architecture of the bacterial cell wall and to study the interaction with antibacterial molecules is an important aspect of assessing and developing novel antimicrobial molecules. We carried out molecular dynamics simulations using an atomistic model of peptidoglycan (PGN) to represent the architecture for Gram-positive Staphylococcus aureus. The model is developed to capture various structural features of the staphylococcal cell wall, such as the peptide orientation, area per disaccharide, glycan length distribution, crosslinking, and pore size. A comparison of the cell wall density and electrostatic potentials is made with a previously developed cell wall model of Gram-negative bacteria, Escherichia coli, and properties for both a single and multilayered structures of the Staphylococcal cell wall are studied. We investigated the interactions of the antimicrobial peptide melittin with the PGN structures. The depth of melittin binding to PGN is more pronounced in E. coli than S. aureus, and consequently the melittin has greater contacts with glycan units of E. coli. Contacts of melittin with the amino acids of peptidoglycan are comparable across both the strains, and the D-Ala residues, which are sites for transpeptidation, show enhanced interactions with melittin. A low energetic barrier is observed for translocation thymol with the four-layered peptidoglycan model. The molecular model developed for Gram-positive PGN allows us to compare and contrast the cell wall penetrating properties with Gram-negative strains and assess for the first time binding and translocation of antimicrobial molecules for Gram-positive cell walls.
- organism: E. coli
- organism: human
- research focus: drug response / drug discovery
- research focus: cell signaling & trafficking
- research focus: chromatin & epigenetic regulation
- research focus: protein folding & dynamics
- approach: mechanistic / dynamical model
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