High-Throughput Synthesis and Evaluation of Antiviral Copolymers to Target Enveloped Viruses
Viewed:
420
This dataset includes characterisation data for copolymers synthesised by high throughput PET-RAFT photopolymerisation strategy, including NMR and SEC analysis of polymers, and raw results from immunoplaque and cytotoxicity assays used to evaluate antiviral activity. Polymer association with models of viral membranes by Langmuir lipid monolayers are also included. Python scripts used for analysis of data set are included as a Jupyter Notebook.
New antiviral polymers to deactivate eneveloped viruses were synthesised and evaluated by a high-throughput experimental workflow.
Geographical area of data collection
kmlPolyCoords
153.044839,-27.467359
Publications
Mengist, H. M., Denman, P., Frost, C., Sng, J. D. J., Logan, S., Yarlagadda, T., Spann, K. M., Barner, L., Fairfull-Smith, K. E., Short, K. R., & Boase, N. R. B. (2024). High-Throughput Synthesis and Evaluation of Antiviral Copolymers for Enveloped Respiratory Viruses. Biomacromolecules.
http://dx.doi.org/https://doi.org/10.1021/acs.biomac.4c01049
Research areas
Macromolecular and materials chemistry
Antivirals
Lipid monolayers
High-throughput polymerisation
Cite this collection
Mengist, Hylemarian; Denman, Paul; Frost, Charlotte; Sng, Julian; Logan, Saskia; Barner, Leonie; Spann, Kirsten; Fairfull-Smith, Kathryn; (2024): High-Throughput Synthesis and Evaluation of Antiviral Copolymers to Target Enveloped Viruses. Queensland University of Technology. (Dataset) https://doi.org/10.25912/RDF_1721879623130
Partner institution
School of Chemistry and Molecular Biosciences, University of Queensland
https://scmb.uq.edu.au/
Data file types
An .xlsx file is provided to connect sample composition with data labels used during data acquisition.
Collated NMR results are provided as .mnova files and can be opened by Mnova by Mestrelab.
Exported GPC results are provided as .xlsx files.
Raw results from immunoplaque assay and cytotoxicity testing are provided as .xlsx results.
Raw results from Langmuir experiments are provided as .xlsx files.
Python scripts are provided as Jupyter Notebook files.
Licence
Creative Commons Attribution-Share Alike 4.0 (CC-BY-SA)
http://creativecommons.org/licenses/by-sa/4.0/
Copyright
© Queensland University of Technology, 2024.
Dates of data collection
From 2022 to 2024
Connections
Has chief investigator
Contacts
Other
Date record created:
2024-07-14T18:23:41
Date record modified:
2024-10-10T12:35:39
Record status:
Published - Open Access