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.


Elucidating molecular mechanism of membrane disruption by designed α-helix peptides with antitumor and antibacterial properties

Abstract: We have previously shown that peptides such as G(IIKK)4I-NH2 (G4) can kill bacteria and inhibit cancer cell growth whilst remaining benign to mammalian host cells. We have also demonstrated using Langmuir trough measurements that these peptides can selectively respond to different membrane types and that charge interaction is a crucial factor . Here we propose to use neutron reflection to study how these peptide interact with lipid monolayers under different surface pressures. As peptide binding follows a dynamic process over a period of 30-60 min during which the surface pressure rises steadily, we will plan measurements under different contrasts with a carefully select set of pressure and time windows.

Principal Investigator: Professor Jian Lu
Experimenter: Dr Zongyi Li
Experimenter: Dr John Webster
Local Contact: Dr Arwel Hughes
Experimenter: Miss Daniela Ciumac
Local Contact: Dr Mario Campana
Experimenter: Mr Ruiheng Li

DOI: 10.5286/ISIS.E.RB1610224

ISIS Experiment Number: RB1610224

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.81735367 INTER 12 July 2019 Download
10.5286/ISIS.E.81735398 INTER 27 July 2019 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 Jian Lu et al; (2016): Elucidating molecular mechanism of membrane disruption by designed α-helix peptides with antitumor and antibacterial properties , STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1610224

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



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