ISIS Neutron and Muon Source Data Journal

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.


Determination of the mechanism of bacterial membrane disruption by cationic antimicrobial polymers

Abstract: Rising antimicrobial resistance poses one of the largest threats to global health, predicted to lead to over 10 million deaths per annum in the UK and US alone by 2050. To combat this issue, we have taken inspiration from natural antimicrobial peptides and developed a library of synthetic, cationic antimicrobial polymers which are effective in inhibiting the growth of clinically relevant MRSA by disrupting the membranes which encapsulate the bacterial cell. Here, we propose to assemble planar floating lipid bilayers containing anionic lipids on functionalised gold surfaces to mimic bacterial membranes. By using neutron reflectometry and exploiting isotopic contrast variation, we aim to determine the mechanism of membrane disruption by cationic antimicrobial peptides whilst obtaining insight into how the properties of these materials infljuence their antimicrobial efficacy.

Principal Investigator: Professor Sebastien Perrier
Local Contact: Dr Luke Clifton
Experimenter: Dr Stephen Hall
Experimenter: Mr Ramon Garcia

DOI: 10.5286/ISIS.E.RB2010351

ISIS Experiment Number: RB2010351

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.RB2010351-1 INTER 17 October 2023 Download

Publisher: STFC ISIS Neutron and Muon Source

Data format: RAW/Nexus
Select the data format above to find out more about it.

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; (2020): Determination of the mechanism of bacterial membrane disruption by cationic antimicrobial polymers, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2010351

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



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