ISIS Neutron and Muon Source Data Journal

NR Investigation of Structural Basis Underlying Synergistic Binding of Lipopeptides and Antibiotics against Bacteria

Abstract: In this part of the proposed work, we wish to explore how antibiotics and antimicrobial peptides interact with model lipid bilayers in the form of a supported lipid bilayer, mimicking key features of outer surfaces of red blood cells and bacteria. From home lab based dynamic light scattering and molecular dynamic simulations, we have found varying interactions associated with charges and hydrophobicity. NR is uniquely powerful at unraveling structural details associated with antibiotic binding to the bilayers. This work aims to investigate what happens when model lipid bilayers are exposed to lipopeptides, antibiotics and a combination of both, to offer structural basis underlying their synergy. This work will form a useful basis for us to compare how antimicrobial peptides and traditional antibiotics interact with representative membrane bilayer models, separately or combined.

Principal Investigator: Professor Jian Lu
Local Contact: Dr Mario Campana
Experimenter: Dr Luke Clifton
Experimenter: Mr Haoning Gong
Experimenter: Dr Mingrui Liao
Experimenter: Dr Arwel Hughes
Experimenter: Mr Huayang Liu
Experimenter: Mr KE FA

DOI: 10.5286/ISIS.E.RB1920496

ISIS Experiment Number: RB1920496

Publisher: STFC ISIS Neutron and Muon Source

Data format: RAW/Nexus
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Data Citation

The recommended format for citing this dataset in a research publication is as:
[author], [date], [title], [publisher], [doi]

For Example:
Professor Jian Lu et al; (2019): NR Investigation of Structural Basis Underlying Synergistic Binding of Lipopeptides and Antibiotics against Bacteria, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1920496

Data is released under the CC-BY-4.0 license.