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.
SANS study of antimicrobial synergy from pairing of lipopeptides and antibiotics against drug-resistant bacteria
Abstract: Cationic lipopeptides are amphiphilic; they self-assemble and easily bind to anionic bacterial membranes. When used as a binary mixture with antibiotics such as tetracycline (TC), they interact strongly to form new aggregates. Thus, binary lipopeptide-TC complexes may interact with bacterial membrane differently from their individual components. The broad aim of this work is to reveal how representative pairs of lipopeptide-antibiotic mixtures interact with model bacterial membranes by SANS. This work will offer important insight in lipopeptide design in combinational therapy.
Principal Investigator: Professor Jian Lu
Experimenter: Dr Xuzhi Hu
Experimenter: Dr Zongyi Li
Experimenter: Miss Tianhao Ge
Experimenter: Dr Mingrui Liao
Experimenter: Dr Arwel Hughes
Experimenter: Mr kangcheng shen
Local Contact: Dr James Doutch
Experimenter: Mr Zeyuan ZHUANG
DOI: 10.5286/ISIS.E.RB2220139
ISIS Experiment Number: RB2220139
| Part DOI | Instrument | Public release date | Download Link |
|---|---|---|---|
| 10.5286/ISIS.E.RB2220139-1 | ZOOM | 03 October 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): SANS study of antimicrobial synergy from pairing of lipopeptides and antibiotics against drug-resistant bacteria, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2220139
Data is released under the CC-BY-4.0 license.
