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.
Mechanisms of Bacterial Membrane Disruption Induced by Designed Cationic Peptides
Abstract: Antimicrobial peptides (AMPs) are attractive alternatives to conventional antibiotics in our fight against multidrug resistance. Building on the hydrophobic alpha-2 helix of the Dengue virus capsid protein (DENV C), which is implicated in its membrane insertion (residues 45-58: KLFMALVAFLRFLT) and inspired by the broad-spectrum AMP G(IIKK)3I-NH2(G3) , we have designed three alpha-2 derived variants with rational rebalance in hydrophobicity and cationic charge to improve their membrane disruption capacity. DVP-1 increases Lys content to raise net positive charge and solubility; DVP-2 replaces Leu by Ile to moderate hydrophobicity and toxicity; DVP-3 replaces Lys by Arg to enhance bactericidal efficiency. The broad aim of this project is to investigate how residue identity and hydrophilic hydrophobic balance govern membrane binding, insertion and lysis and link these insights to bactericidal potency. Neutron reflection (NR) is a vital method for determining both the thickness and composition of lipid bilayers before and after AMP binding. When combined with deuterium labelling, NR is powerful at revealing how AMP peptides remove lipids and alter the key lipid bilayer characters.
Principal Investigator: Miss Yingyu Wang
Experimenter: Mr kangcheng shen
Experimenter: Mr Shilin Deng
Experimenter: Dr Mingrui Liao
Experimenter: Dr Zeyuan Zhuang
Experimenter: Professor Jian Lu
Local Contact: Dr Oleksandr Tomchuk
DOI: 10.5286/ISIS.E.RB2610551
ISIS Experiment Number: RB2610551
| Part DOI | Instrument | Public release date | Download Link |
|---|---|---|---|
| 10.5286/ISIS.E.RB2610551-1 | OFFSPEC | 01 June 2029 | 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:
Miss Yingyu Wang et al; (2026): Mechanisms of Bacterial Membrane Disruption Induced by Designed Cationic Peptides, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2610551
Data is released under the CC-BY-4.0 license.
