ISIS Neutron and Muon Source Data Journal

Structural insight into the mechanistic process of permeabilization into model membranes by an antimicrobial peptide

Abstract: The aim of this study is to try to understand how antimicrobial peptides bind to model lipid monolayers mimicking different cell membrane types. Following our previous work, this study will move into model lipid monolayers containing 2-3 key membrane components. Their combined use helps us to better understand the effects of membrane composition on the amount and location of peptide binding. This constitutes a crucial part of the peptide action mechanisms when disrupting different membranes. The molecular basis of selectivity will in turn help improve the potency of these peptides whilst keeping the toxicity at the minimum.

Principal Investigator: Professor Jian Lu
Experimenter: Mr Haoning Gong
Experimenter: Mr Charles Smith
Experimenter: Dr Zongyi Li
Local Contact: Dr Arwel Hughes
Experimenter: Miss Daniela Ciumac
Experimenter: Dr John Webster

DOI: 10.5286/ISIS.E.RB1710207

ISIS Experiment Number: RB1710207

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; (2017): Structural insight into the mechanistic process of permeabilization into model membranes by an antimicrobial peptide, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1710207

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