Validating a predictive structure–property relationship by discovery of novel polymers which reduce bacterial biofilm formation
Publication date
2020-06-26Metadata
Show full item recordDescription
Dataset contains raw and processed data used for the creation of figures in publication entitled 'Validating a Predictive Structure – Property Relationship by Discovery of Novel Polymers which Reduce Bacterial Biofilm Formation'
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Subjects
- Biofilms
- Structure-activity relationships (Biochemistry)
- Transesterification
- low-fouling, polymer microarray, QSAR, transesterification, biofilms
- Biological Sciences::Microbiology::Applied microbiology
- Q Science::QR Microbiology::QR100 Microbial ecology
Divisions
- University of Nottingham, UK Campus::Faculty of Science::School of Pharmacy
Research institutes and centres
- University of Nottingham, UK Campus
Deposit date
2020-06-26Data type
Excel spreadsheets, GraphPad prism filesContributors
- Dundas, Adam Alastair
- Sanni, Olutoba
- Dubern, Jean-Frédéric
- Dimitrakis, Georgios
- Hook, Andrew Leslie
Funders
- Wellcome Trust
- Engineering & Physical Sciences Research Council
Grant number
- 103882
- 103884
- EP/N006615/1
Data collection method
Data collected by fluorescent measurements (fluorescent scanner), Time-of-flight Secondary-ion mass spectrometry, Confocal MicroscopyResource languages
- en
Publisher
The University of Nottingham
Except where otherwise noted, this item's license is described as Creative Commons by Attribution