This is a page describing data taken during an experiment at the ISIS Neutron and Muon Source. Information about the ISIS Neutron and Muon Source can be found at https://www.isis.stfc.ac.uk.
Direct Observation of Gram Negative Bacterial Membrane Disruption by Supramolecular Antimicrobials
Abstract: Cyclic peptides with alternating side chain stereochemistry are capable of self-assembling into long nanotubes. The conjugation of polymers to these peptides renders the resulting nanotubes water soluble, whilst providing functionality. In response to the rising global threat of increasing antimicrobial resistance, we have been developing cationic cyclic peptide-polymer conjugates to target anionic Gram-negative bacterial membranes as supramolecular antimicrobials. Here, we propose to assemble asymmetric planar floating lipid bilayers on functionalised gold surfaces to mimic the outer membrane of Gram-negative bacteria. By using neutron reflectometry and exploiting isotopic contrast, we aim to determine the mechanism of membrane disruption by these materials whilst obtaining information relating the molecular properties of cyclic peptide-polymer conjugates to their antimicrobial activity
Principal Investigator: Professor Sebastien Perrier
Experimenter: Mr Thomas Floyd
Experimenter: Dr Alexia Hapeshi
Experimenter: Mr Ramon Garcia
Experimenter: Dr Stephen Hall
Local Contact: Dr Luke Clifton
DOI: 10.5286/ISIS.E.RB1920533
ISIS Experiment Number: RB1920533
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.RB1920533-1 | OFFSPEC | 13 December 2022 | Download |
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 Sebastien Perrier et al; (2019): Direct Observation of Gram Negative Bacterial Membrane Disruption by Supramolecular Antimicrobials, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1920533
Data is released under the CC-BY-4.0 license.