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.


Investigation of Hydrogel Architecture Constructed from the Strongest Protein Fold

Abstract: Proteins are bionanomachines and provide a diverse range of biological functions. By using folded proteins as building blocks, we can create functional biomaterials with specific mechanical and structural properties. An exciting new building block is the staphylococcal adhesin B domain (SdrG B1) which holds the position of being the strongest ever protein to date. The mechanical properties of this protein are sensitive to calcium in the environment, making it an attractive mechanically robust and responsive building block. In this project we will obtain important structural insight into the network which is formed by connected SdrG B1 proteins. This will help us to understand the mechanically robust scaffold created by the protein network and how it changes in response to calcium. This will support our goal of creating novel responsive biomaterials for healthcare applications.

Principal Investigator: Professor Lorna Dougan
Local Contact: Dr Najet Mahmoudi
Experimenter: Miss Sophie Cussons
Experimenter: Ms Kalila Cook
Experimenter: Dr Matthew Hughes

DOI: 10.5286/ISIS.E.RB2220774

ISIS Experiment Number: RB2220774

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.RB2220774-1 ZOOM 08 December 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 Lorna Dougan et al; (2022): Investigation of Hydrogel Architecture Constructed from the Strongest Protein Fold, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2220774

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



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