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.


How does in-membrane structuring affect antimicrobial efficiency of AMPs?

Abstract: A short designed antimicrobial peptide (AMP) G(IIKK)3I (GIK) kills pathogenic microbes by disrupting their membranes. Our recent study has revealed that substitution of Ile (I) by Trp (W) or Phe (F), or substitution of Lys (K) by Arg (R) in GIK leads to GWK, GFK and GIR and improves AMP?s antimicrobial performance in terms of antimicrobial efficiency measured by minimum inhibition concentration and dynamic killing measured by minimum contact time to achieve 99.9% killing at a fixed AMP concentration. We hypothesize the efficiency improvement is related to membrane leakage underpinned by AMP binding. We request 3 days of SANS2D time to examine how the 4 AMPs bind small unilamellar vesicles mimicking outer/inner bacterial membranes of E. coli. This experiment is crucial to provide vital data about different in-membrane nanostructures to guide MD simulations and future SANS data analysis.

Principal Investigator: Professor Jian Lu
Experimenter: Dr Xuzhi Hu
Experimenter: Dr Mingrui Liao
Experimenter: Mr kangcheng shen
Local Contact: Dr Gregory Smith
Experimenter: Miss Tianhao Ge

DOI: 10.5286/ISIS.E.RB2210218

ISIS Experiment Number: RB2210218

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.RB2210218-1 LARMOR 06 April 2025 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; (2022): How does in-membrane structuring affect antimicrobial efficiency of AMPs?, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2210218

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



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